196 computer-security "https:" "https:" "https:" "https:" "https:" "Dr" research jobs at University of Oxford
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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics
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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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the lunar farside. The successful candidate will contribute to the development and scientific programme of the Lunar Farside Technosignature and Transients Telescope (LFT3; https://lft3.space). Lunar Farside
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candidate will contribute to an interdisciplinary research programme at the interface of artificial intelligence, biology, and human health. Reporting to the BDI Director, the post holder will play a leading
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instance Hours: Full time (37.5 hours per week) About the role We are looking for a Postdoctoral Research Associate in Computational Biology to join the group of Dr Rebecca Berrens. This primarily dry-lab
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inclusive and sustainable battery redeployment. Working with Dr Radhika Khosla and Dr Anupama Sen, and collaborating with interdisciplinary colleagues in the Circular Battery Economies Programme, you will
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Buckley and will closely collaborate with other team members in Oxford such as Tissue Biology Lead Dr Matthias Friedrich, Computational/Bioinformatics Lead Dr Calliope Dendrou, Data Management Lead Prof
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Researcher to apply statistical and computational approaches towards
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Researcher in Computational and Systems Biology to lead innovative research
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for carrying out research on the European Research Council Project METACOMP on “Meta-Complexity: A Unified Approach to the Complexity of Proofs and Computation”, with Rahul Santhanam as Principal Investigator