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Universidade Lueji A'Nkonde

Universidade Lueji A'Nkonde is situated in the city of Dundo close to Angola’s border with the Democratic Republic of the Congo.
It part of a network of autonomous regional public universities, serving the states of Lunda Norte and Lunda Sul.
It was founded in 2004 as the Escola Superieur de Lunda Norte.?
It is divided between schools of law, economics and education at Bondo, technical education at Kwanza and the polytechnic institute at Saurimo.
It offers qualifications in six varieties of engineering as well as maths, chemistry, physics, biology, French, English, Portuguese, history, geography, special education, primary education, pre-school education, nursing, law, economics, and administration and management.?
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United Arab Emirates, Abu Dhabi

Description

The Public Health Research Center (PHRC) at New York University Abu Dhabi is seeking a Research Assistant Bioinformatician with experience in population genetics and machine learning to join its team. The ideal candidate will have experience in bioinformatics, whole-genome sequencing data analysis and predictive modelling. The role offers the opportunity to work in a dynamic, multidisciplinary research environment alongside epidemiologists, geneticists and computational biologists. The PHRC is focused on understanding the factors influencing health outcomes and traits related to the most common non-communicable diseases in the UAE. This is achieved by investigating and integrating diverse data sources, including epidemiological, clinical, genetic, and multi-omic data. The successful candidate will benefit from the support of established Core Bioinformatics and Sequencing Platforms and High-Performance Computing facilities.

Applicants must have a bachelor's degree in Computer Science or Computational Biology. Excellent experimental and in silico skills relevant to the project (in particular genomics and bioinformatics), and strong programming skills (e.g., Python, R, Bash, Java, C++), are also required.

The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately through Interfolio, and candidates will be considered until the position is filled. All applicants must submit a cover letter, curriculum vitae, transcript of degree, and 2 letters of recommendation, all in PDF format, through Interfolio. If you have any questions, please email Dr. Yvonne Vallès (yv8@nyu.edu).?

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.


New York University Abu Dhabi Corporation

Hong Kong

The Advanced Biomedical Instrumentation Centre Limited (ABIC) is a collaborative effort coordinated by the University of Hong Kong (HKU) undertaking R&D projects with universities and companies globally. The aim of ABIC is to develop new and disruptive technologies that will meet the needs of the healthcare sector and contribute to human health.

Applications are invited for appointment as AI Engineering Specialist (Software as a Medical Device (SaMD) and Artificial Intelligence) (Ref.: H01/2025/063)

We are seeking an expert to play a pivotal role in our medical engineering efforts. You will drive and shape the development of groundbreaking Software as a Medical Device (SaMD) products and leverage the power of artificial intelligence to revolutionize diagnostics, treatment, and patient care.

What You'll Do


	Lead the design and development of AI/ML algorithm
	Focus on electrophysiology and brain-computer interface (BCI) data analysis and algorithms
	Apply your expertise in machine learning (especially deep learning) to develop, train, validate, and optimize algorithms for a variety of medical applications.
	Architect and develop SaMD products, with a focus on US FDA product registration (510(k), De Novo, PMA) and fulfilling international standards (e.g., ISO 13485, IEC 62304)
	Employ software engineering best practices and adhere to relevant software development cycle standards
	Guide architectural decisions, technology choices, and development methodologies
	Collaborate with cross-functional teams (product, clinical, regulatory) to ensure alignment


What is Required


	Bachelor, Master or Ph.D. degree in Computer Science, Data Science, Biomedical Engineering, Information Engineering, or a related field with a strong emphasis on software development and AI/ML.
	Proven experiences in BCI related data analysis and algorithms
	Proven experience in handling brain-related electrophysiological signals such as ECoG, neural spikes or EEG as a plus
	6+ years of experience in software development for medical applications, with 3+ years focused on SaMD and a proven track record of developing and deploying AI/ML algorithms in a regulated environment.
	Expert-level proficiency in machine learning, particularly deep learning, with hands-on experience using frameworks and tools, such as TensorFlow, PyTorch, Keras, etc.
	Strong programming skills in languages such as Python, C++, R, and Java.
	Experience with cloud computing platforms (AWS, Azure, GCP) and their services relevant to SaMD.
	In-depth understanding of the medical device development lifecycle and relevant regulations (FDA or EU MDR).
	Experience with SaMD development, verification, validation, and regulatory approval. Knowledge of QMS principles and ISO 13485.


Work mode


	Full-time / part-time, details can be negotiated
	Located in Hong Kong, or the Silicon Valley area in California in US
	Highly competitive compensation will be offered. ?


Applicants should submit their up-to-date C.V., quoting the job reference number, with information on current/expected remuneration and availability, to pklc@hku.hk. Review of applications will commence as soon as possible and until the posts are filled.

The personal data provided in your application process will be used for recruitment and other employment-related purpose. The personal data may be transferred and disclosed to, and used by?the affiliated?entities?of Advanced Biomedical Instrumentation Centre Limited?for the above purposes.

We are an equal opportunities employer and welcome applications from all qualified candidates.


Advanced Biomedical Instrumentation Centre Ltd

?44,355 - ?47,882 per annum, including London Weighting Allowance

United Kingdom, London

About us

From its earliest years, the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) has been fundamentally changing and shaping how we understand, prevent and treat mental illness and other conditions that affect the brain.? The legacy, ethos and drive of the IoPPN has ensured its position at the forefront of mental health care, redefining mental illness, its treatment and its place in society.

The IoPPN is divided into 14 academic departments across three major academic Schools: Academic Psychiatry, Mental Health & Psychological Sciences, and Neuroscience.

The Department of Psychosis Studies, part of the School of Academic Psychiatry, is one of the world’s leading centres for research into psychotic disorders. Our research includes the following major themes: Comorbidities & transdiagnostic approaches; Interventions; Neuroscience & biological mechanisms; Prediction and analytics; Risk factors and population health; and Treatment resistance. Our work involves a wide range of methodologies, including artificial intelligence/ digital technologies and interventions, cognitive neuroscience approaches, epidemiology, experimental medicine and clinical trials, ex vivo analyses, genomics, health service and applied research, meta-analysis and evidence synthesis, prevention and early intervention, psychological approaches, psychopathology/ phenomenology, neuroimaging, real world data analyses and natural language processing, and stem cell techniques.

About the role

This is an exciting position where the successful candidate will have the opportunity to work as part of an internationally leading team of researchers investigating biological bases of neuropsychiatric and neurodegenerative disorders and the mechanism of action of treatments. The team has a particular interest in investigating the mechanism of action of cannabinoids and a key component of this program of work will involve the application of cutting edge neuroimaging techniques such as fMRI to investigate the neural substrates underpinning the harmful effects of recreational cannabis use as well as potential therapeutic effects of cannabinoids.

They will be expected to support ongoing studies. For example, mechanistic sub studies linked to clinical trials as well as observational studies and contribute to grant applications or protocols. This often involves neuroimaging or cognitive paradigms.

The successful candidate will will work closely with Prof Sagnik Bhattacharyya?www.kcl.ac.uk/people/professor-sagnikbhattacharyya?and other investigators based at King’s College London, in particular Dr Latha Velayudhan?www.kcl.ac.uk/people/dr-latha-velayudhan They will also interact with clinical fellows, research assistants, postdoctoral researchers and PhD students working in the group.

This is a full-time, fixed term post, currently funded for 12 months with potential for extension and an anticipated start from August 2025. The successful candidate will be encouraged to apply for postdoctoral fellowships

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria?


	PhD in Psychiatry or a related field e.g. Neuroimaging, Genetics or another other field focusing on neuropsychiatric conditions
	Experience in quantitative data analysis techniques with proficiency in Python, R, MATLAB or another relevant language.
	Good communication skills, ability to critically appraise research findings and present at meetings and conference.
	Self-motivated with ability to work independently and having good organisational and time management skills.
	Strong publication record appropriate for career stage with first-author publications.
	Excellent interpersonal skills to develop and maintain effective working relationships
	Knowledge and interest in study design (research) and statistical analysis approaches


Desirable criteria


	Experience in grant application development.
	An understanding of data protection and patient confidentiality.
	Knowledge of neuropsychiatric or neurodegenerative disorders.
	Experience or interest in the analysis of neuroimaging datasets or genetic data Full details of the role and the skills and experience required, can be found in the attached job description which provided on the next page.
	Experience or interest in clinical trials or pharmacological challenge studies


Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK.

This post is subject to Disclosure and Barring Service and/or Occupational Health clearances.

Grade and Salary:??44,355 - ?47,882 per annum, including London Weighting Allowance
Job ID:?116345
Close Date:?22-Jun-2025
Contact Person:?Prof Sagnik Bhattacharyy
Contact Details:?sagnik.2.bhattacharyya@kcl.ac.uk


King's College London

?44,355 - ?51,735 per annum, including London Weighting Allowance

About us

The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models,? graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge representation, knowledge engineering, linked data.

About the role

The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but also process blueprints and guidance for knowledge engineers to use generative AI tools productively.?

The post holder will work closely with Prof Elena Simperl and Dr Albert Mero?o Pe?uela and a team of 15+ researchers and PhD students in the area of knowledge graphs. The role covers research in the areas mentioned above, as well as the production of scientific publications and application showcases to drive research impact. The researcher will also be expected to support the organisation of impact creation activities, including hackathons, workshops, tutorials, and community meetups. The research outputs will inform work undertaken in the group in several large collaborative grants and application areas, including cultural heritage, enterprise data management, and legal compliance.

The ideal candidate will have solid expertise in the technical areas mentioned earlier, as well as a proven track record of scientific excellence (through publications in A and A* conferences and journals) and of open science and FAIR practices (through software, datasets and other research outputs, participation in challenges etc). Familiarity with knowledge engineering methodologies and with semantic technologies, in theory and practice, is a firm requirement.?

The post is full-time (35 hours per week), offered on a fixed term contract for 18 months. We can discuss part-time options in exceptional circumstances. There is also the option to extend the contract beyond the 18 months provided funding is available.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria


	PhD in computer science, AI or related area
	Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS, OWL
	Proven experience with predictive and generative AI
	Practical experience in using large language models, generative AI techniques, prompt engineering
	Proven record of A/A* scientific publications and open science/FAIR practices
	Teamwork skills demonstrated e.g. through project work, organization of joint events, co-authored papers etc.
	Time management and organisational skills, including experience in organizing small scientific workshops and similar


Desirable criteria


	Familiarity with the design of AI enabled tools, AI assistants, and agentic AI
	Familiarity and contributions to Wikipedia and/or Wikidata
	Familiarity with one or more of these application domains for neuro-symbolic AI: law, cultural heritage, enterprise data management
	Track record of organising dissemination and community building events e.g. workshops or tutorials co-located with academic conferences


Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

*?Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘?How we Recruit’ pages.

Grade and Salary:??44,355 - ?51,735 per annum, including London Weighting Allowance
Job ID:?116389
Close Date:?30-Jun-2025
Contact Person:?Elena Simperl
Contact Details:?Elena.simperl@kcl.ac.uk


$163,538 - $180,166 + 17% Superannuation 

Australia, Melbourne


	Full-time, Continuing position 
	Salary Academic Level D ($163,538 - $180,166) + 17% Superannuation and Flexible Working Arrangements
	Based at the Melbourne CBD campus, and hybrid ways of working


About You

The Associate Professor will provide leadership and foster excellence in teaching and research efforts of the School and within the University. More specifically, the Associate Professor is expected to make innovative and distinguished contributions to the School's profile at a national and international level in areas relevant to their discipline (Management/Leadership/Organisational Behaviour).

The Associate Professor will make a significant contribution to the planning and strategic direction of the School, taking on strategic academic leadership roles for learning and teaching or research and scholarship. Their leadership may involve participation in various committees within the School, College and University and external to the University, as appropriate.

To be successful in this position, you will have as a minimum:


	Demonstrated superior ability to direct an award program/s and implement program improvements and innovative approaches to student-centred learning and quality improvement programs.
	Nationally recognised research track record including substantial record of research outputs in high quality outlets and emerging international recognition.
	Extensive experience in research leadership with the ability to attract and secure external research funding to sustain research effort and manage funded research projects including complex budgets and reporting requirements.
	Extensive experience in building and developing collaborative research teams, and mentoring academic staff to deliver high quality outcomes.
	Extensive experience in supervising higher degree by research candidates to maximise research
	Demonstrated ability to lead scholarly development and manage and supervise academic teams and members.
	Demonstrated understanding of and commitment to financial, governance and quality management systems within a University.
	Demonstrated high level of interpersonal, communication and negotiating skills including the ability to consult with senior executives, external bodies, produce executive reports, negotiate agreed directions, outcomes and targets within a collaborative environment.
	Proven ability as an effective member of a management team that develops and achieves shared goals and objectives


Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.

About The Department of Management and Organisations

The Department of Management and Organisations is a dynamic and interdisciplinary team of scholars focusing on management and organisational studies. Our collective expertise bridges academic rigor and real-world application, fostering innovation and social impact in addressing contemporary organisational challenges at the individual, group, and broader societal levels. We engage with stakeholders across sectors to co-create knowledge that not only responds to today's needs but also anticipates tomorrow's opportunities. Through our research, teaching, and industry engagement, we contribute meaningfully to the Sustainable Development Goals (SDGs)

Our research agenda is driven by a shared commitment to advance the field of management and organisational studies and shape high-performing, truly inclusive, and future-ready workplaces. Specifically, we seek to challenge current management thinking and propel tech-driven, evidence-based practices through four major streams of research:


	Organisational Behaviours - We examine the psychological and social dynamics that shape behaviour within organisations. Our research explores areas such as leadership and followership, ethics, emotions, personality and individual differences, humour in the workplace, feedback, cognitive processes, and the role of play at work. We investigate how these factors influence motivation, creativity, performance, team dynamics, and organisational culture in diverse settings.
	IDEA Issues - Our research advances Inclusion, Diversity, Equity and Access (IDEA) agenda across a range of organisational and societal context on topics such as migrant experience, human rights in business, cross-cultural management, and intersectionality of social identities. Our work also addresses issues affecting Aboriginal and Torres Strait Islander peoples, individuals from socioeconomically disadvantaged backgrounds, and other structurally marginalised or underrepresented communities.
	Social Impact - We generate positive social impacts through research that informs responsible policy and practice in areas related to work, employment, and societal wellbeing. Our research addresses issues such as workplace health and safety, sustainable business practices, corporate social responsibility (CSR), public health and care management, labour markets, and trade unions. We also explore emerging themes such as regenerative futures and just transitions in the context of energy and environmental change, with a focus on enhancing social equity and long-term sustainability.
	Technology for Humanity - Focusing on the human side of technology, we explore how tech-enabled innovations can be effectively managed to improve work, learning, wellbeing at the individual, team, and organisational levels. Our research spans areas such as the human-AI interface, gamification in organisational settings, digital transformation in higher education, and technology adoption in organisations.


Members of the Department aim to promote research excellence and develop higher level academic credential and unique identity in the focal field through high quality publications and to advance research capability and skills, forge and promote internal and external research collaborations.

About The School of Management

The Department of Management & Organisations is part of the School of Management which sits within the College of Business and Law. In addition, the School comprises three other departments: the Department of International Business and Innovation & Entrepreneurship (IBIE) and the Department of Human Resource Management (HRM), and the Department of Business Administration.

We are a diverse community of scholars who recognise and embrace multiple perspectives on organisations, management, and work. We are proud of our strengths in translating the knowledge we produce for real world application. We aim to improve public policy, organisational practice, and working life. We do this by advancing leadership, management, employment, innovation and entrepreneurial practices that are inclusive, responsible, and enable people and organisations to thrive.

The School currently offers undergraduate and postgraduate coursework programs known for their practicality, industry relevance and flexible delivery in the following areas:


	Leadership and Strategy
	Management and Change
	Social Impact
	Entrepreneurship and Innovation
	Human Resource Management/People Analytics
	International Business/Global Business
	Innovation and Strategy


About The College of Business and La

RMIT's College of Business and Law takes an industry and student-centred approach to its courses and programs, ensuring graduates are work ready and able to tackle business challenges, balance stakeholder needs, act as socially responsible global citizens and create fair and positive futures for all

The College delivers impactful research informed by industry, which supports its strong position as a College at the intersection of business and technology with social impact. Its important work is underpinned by the principles of quality, collaboration, big ideas and putting people first

As one of the largest Business Schools in the Asia Pacific region, the College is comprised of five schools - four in Melbourne and one in Vietnam - and delivers a broad range of programs in Business and Law, ranging from Degree to PHD levels.

The College's Business and Law programs are delivered in Melbourne as well as through RMIT Online, with its Business programs also available in Vietnam and through partner institutions in Singapore and Shanghai. The College employs over 1000 staff and delivers programs to over 26,000 students.

The College's central operations are located at RMIT University's City Campus in Melbourne and reside in the Swanston Academic and Emily McPherson buildings.

To Apply 

Please submit your CV, covering letter, and statement addressing the selection criteria for this position by clicking on the 'Apply' link at the top of this page.

For further information about this position, please see the Position Description hyperlinked below or contact Professor Sen Sendjaya via email sen.sendjaya@rmit.edu.au.

Position Description - Associate Professor

Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements.

Applications close on the 1st of July 2025

About RMIT University

RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work.

https://www.rmit.edu.au/about

https://www.universitiesaustralia.edu.au/university/rmit-university

Why work at RMIT University

Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice.

We want to attract those who will make a difference. View RMIT's impressive standings in university rankings.

https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings

Bring Your Whole Self to Work

We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond.

We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins.

RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples.

At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

We are a Circle Back Initiative Employer - we commit to respond to every applicant.


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