23 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Fellowship positions 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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work and personal life - https://hr.admin.ox.ac.uk/staff-benefits Committed to equality and valuing diversity We welcome applications from individuals from all backgrounds, including those under
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are seeking a researcher to lead a programme of work to develop a new strengths and abilities assessment toolkit to enhance strengths-based education for neurodivergent primary school-aged children. This will
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opportunity to pursue an independent programme of research in this critical area and to join Oxford University’s Tuberculosis Grand Challenge (https://www.ineosoxford.ox.ac.uk/ioi-grand-challenge-tuberculosis
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access to substantial travel and research funds and participate fully in the Department’s vibrant programme of visitors and seminars. An affiliation with Magdalen College is under discussion. Applications
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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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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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produced excellent research during their PhD and in any postdoctoral positions. Securing a Fellowship will offer you the freedom to conduct your own research programme. To aid the development
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during their PhD and in any postdoctoral positions. Securing a Fellowship will offer you the freedom to conduct your own research programme. To aid the development of their academic profile and to support
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning