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on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related discispline. You
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computational analysis of single cells and also interfacing with NHS colleagues at the Oxford University Hospitals NHS Foundation Trust. You will hold a medical degree (MB ChB or equivalent) and relevant PhD or a
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We are seeking to appoint a Postdoctoral Research Scientist in Transcriptomics of iPSC-Derived Neurons to join the newly established Oxford-GSK Institute for Molecular & Computational Medicine (IMCM
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the neuromodulators and underpinning mechanisms that shape dopamine transmission and related circuits, as part of our international collaborative project funded by Aligning Science Across Parkinson’s. The post holder
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and Prof Paul Shearing. The post is funded through a strategic research partnership and is fixed term for up to 2 years. To support the programme, the post holder will be required to carry out research
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possess a PhD/DPhil in Engineering, Computer Science or other related field, (with the possibility to underfill at Grade 6 (£34,982 - £40,855 p.a.) if candidate holds a relevant degree and is working on PhD
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new
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, Statistics, Mathematics, Computer Science, or a related computational field with demonstrated relevance to tissue biology or immunology—particularly in the context of inflammatory diseases—or a PhD in
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, calcium imaging, optogenetics and/or behavioural methods. The project is part of a broader research programme designed to use cross-species research to uncover mechanisms for memory in both health and
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at the Centre for Neural Circuits and Behaviour. The goal of the research is to understand the molecular, cell biological, and neural mechanisms of social behaviour with a focus on identifying the role