156 computer-science-intern "https:" "https:" "https:" "https:" "P" Postdoctoral positions at University of Oxford
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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
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researcher with a PhD/DPhil (or near completion) in a relevant discipline such as biomedical sciences, tumour immunology, molecular biology, cancer biology, or computational bioinformatics. You will have
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program exploring the role of fluctuations in molecular transport processes by studying highly controlled experimental models at the meso- and nanoscale, funded by a UKRI Frontier Research Guarantee Grant
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Applications are invited for a Postdoctoral Research Assistant in Astrophysics (ERC RedH0T). This project will be part of the ERC Synergy Grant “Red-Teaming the Hubble Tension” (RedH0T). The goal is to determine whether the Hubble tension arises from observational issues or from limitations in...
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-molecule analysis of full-length proteoforms. This project combines chemical biology, biophysics, and biotechnology to engineer protein nanopore systems and biochemical workflows capable of directly
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/appointment where appropriate.) Location: Begbroke Science Park, Begbroke, Oxford The Impact and Shock Mechanics Laboratory (ISML) is seeking a highly motivated scientist to support a high-value materials
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-ome data at bulk and single cell resolution. You will hold a PhD in Mathematics, Systems Biology or a related subject. Experience with mathematical modelling of dynamical systems using linear and non
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects