136 phd-in-computational-mechanics-"Prof"-"Prof" Postdoctoral positions at University of Oxford in United Kingdom
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evaluations, attacks 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
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tomato and pepper as model systems. Work in Oxford will build on our extensive experience in studying bacterial virulence mechanisms and the role of the plant microenvironment in disease development
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This is an exciting opportunity for an enthusiastic and self-motivated scientist to join the lab of Dr Katerina Toropova. The project aims to elucidate the molecular mechanisms of dynein-2 transport
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therapies. This role offers a unique opportunity to investigate the mechanisms of therapeutic resistance in glioblastoma and contribute to the development of more effective treatment strategies. Our research
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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diseases. We are seeking a Postdoctoral Molecular Epidemiologist to work on an NDPH Senior Fellowship funded project which seeks to clarify the causal associations and molecular mechanisms linking adiposity
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We are looking to appoint a postdoctoral researcher, to work with a group of UK Higher Education Institutions to deliver a programme of mental health research. The work is funded by the Medical
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hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets