155 computer-science-intern "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at University of Oxford
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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(PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in battery materials synthesis and device fabrication, advanced
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry
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with fluorescent in situ hybridization of plant samples. Successful applicants will also have a PhD in the life sciences and a record of research productivity. Good communication skills, organization
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The University of Oxford is a stimulating work environment which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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to reduce inequality in high-income countries, and/or (3) the study of social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics
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obtaining grants from national and international funding bodies You will hold a PhD/DPhil in Social Sciences or a related subject, have excellent communication skills, and possess a track record of original
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research project lead by Oxford Materials (Professors Robert House (PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in
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, positive, creative, challenging and rewarding place to work. To be part of a diverse and vibrant international community Comprehensive Staff Benefits, such as a generous holiday entitlement, competitive
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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning