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the problem of induction”. How biological and artificial agents can use limited evidence to effectively learn and generalise is a long standing issue for psychology, AI/computational sciences, neuroscience and
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Technology. Polymer; Solid Mechanics; Mechanics of Materials; Computational Mechanics; Statistical Mechanics
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-related demand- and supply-side interventions. As part of these efforts, the successful candidate will be expected to engage with other stakeholders to develop business-science alliances and initiatives
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research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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the Department of Engineering Science. The post is funded for a 2-year fixed term. You will be actively involved in developing and running experimental facilities at the Oxford Thermofluids Institute
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
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), and their research teams in the Quantum Light and Matter group. The overarching goal of the research is to synthesise and study artificial quantum materials using ultracold CsYb molecules arranged in
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qualification/experience equivalent to PhD level in a relevant subject area (physics, engineering, computing science, etc.). You will need as essential skills a good knowledge of C and python, familiarity with
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that will be used in human challenge studies. You will be working in a growing department within the Medical Sciences Division. The Department of Paediatrics is a world leader in child health research and