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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive
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We are offering 3 opportunities for Postdoctoral Researchers to join a new Oxford–AbbVie Immunology collaborative programme at the interface of academia and industry. These posts provide
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of Oxford and Fortescue Zero, co-funded by UKRI-EPSRC: “A Prosperity Partnership in Energy Storage for Decarbonisation between the University of Oxford and Fortescue Zero.” The programme seeks to position
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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, and contributions to open-source software) and application of these methods to research problems in computational materials chemistry. You will also contribute to wider-ranging research activities
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into valuable fuels. Sulphide materials remain underexplored despite their highly promising optoelectronic properties, and this programme seeks to unlock their potential by precisely controlling thin-film growth
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/DPhil in robotics, computer science, machine learning, informatics, AI, or a closely related field. You will have an excellent academic track record in topics relevant to locomotion and manipulation; path
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/computational topology or algebra for biological systems and assist in organising activities relevant to this group. They will write up their results for publication, present papers at conferences and contribute
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We invite applications for a Postdoctoral Research Associate in Statistics The post holder will report to Prof. Gesine Reinert who is a Principal Investigator on the project. The post holder is a member of a research group with responsibility for carrying out research in the area of parameter...
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject and have a strong record of publication in the relevant literature. Good knowledge of machine learning algorithms is essential, as