14 computer-programmer-"https:"-"Prof"-"https:"-"https:"-"https:" research jobs at KINGS COLLEGE LONDON
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20 Feb 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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: 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 and
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prestigious Marie Skłodowska-Curie Actions (MSCA) Doctoral Network, offering exceptional training and networking opportunities across leading European research institutions. The MSCA programme supports
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Neuroscience. The Headache Group was established to improve the lives of those with primary headache disorders through an integrated programme of research, teaching and clinical activity. About the role
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Department champions the discipline of Chemistry across King’s, leading with its own research and teaching, and encourages close interdisciplinary collaborations. Our PGT and UG programmes have been designed
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King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role We are looking
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research programme takes a mixed methods approach. The successful applicant will have a key role in the qualitative work package which aims to understand multi-stakeholder perspectives of the C(E)TR process
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for
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application of research ethics Experience with the use of computing servers Desirable Criteria Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks. Experience with