88 data-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Oxford
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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical
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of reproducing aerodynamic loads in real time for physical experiments. The project combines numerical modelling, data-driven methods, and laboratory experimentation to advance next-generation real-time hybrid
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life and what happens when families are unable to support young people’s digital lives. Responsibilities include: • Supporting and conducting data collection across the research phases
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plasticity would be useful but not essential as training will be provided. Informal enquiries may be addressed to Prof. Ed Tarleton (email: edmund.tarleton @eng.ox.ac.uk) For more information about working at
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opportunities as this is a network grant including external collaborators. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development
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with sufficient specialist knowledge in normal and malignant haematopoiesis research. Experience of molecular biology, single cell gemonics and/or spatial transcriptomics techniques and data analysis will be
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see the 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university and how to apply. The post is full time for a fixed term
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years This role will contribute directly to drug discovery efforts through the design and synthesis of small-molecule inhibitors. The postholder will use structural, biochemical and microbiological data
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, microbiologists and immunologists at Oxford, as well as with external partners, the postholder will contribute to hypothesis-driven research, data analysis and assay development within an integrated drug discovery