20 computing-"https:"-"https:"-"https:"-"BioData" Fellowship research jobs at University of Oxford
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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Studies. Working under the supervision of Professor Rita Abrahamsen (Chair of African Studies), the successful candidate will develop and pursue an ambitious and original programme of research within
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supervise a Graduate Engineer, coordinate external contractors and specialist consultants, manage laboratory safety implementation, and ensure delivery of the programme to agreed technical objectives, budget
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recognised authority in dynamic-compression science and high energy density physics. They will be expected to be capable of developing their own programme of independent externally funded research projects
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on the National Institute for Health Research (NIHR) RESPOND Programme. This was a 5-year project to develop and trial methods for improving responses to deteriorating postoperative patients. The post will
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
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major themes—cardiovascular science, neuroscience and immunology—addressing key organ systems targeted by non-communicable diseases. About the role The IDRM Transition Fellowship programme aims to support
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About the role We are recruiting a Research Fellow to lead the team's work on zoonotic risk assessment and biosecurity. This is an emerging area as Artificial Intelligence capabilities are increasing. We have outlined strategies for improving surveillance for early detection of novel pathogens,...
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We are looking for a Senior Postdoctoral Research Fellow Reporting to the Principal Investigator Prof Yee-Whye Teh, the postholder will be a member of the Oxford Computational Statistics and
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or biology. In this role, you will work closely with Dr. Lynn and other lab members, employing cutting-edge optical imaging tools and computational analyses to determine how spatial and temporal features