149 algorithm-development-"St"-"St" Postdoctoral positions at University of Oxford in United Kingdom
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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. The group is well known for developing single-molecule and single-cell fluorescence methods (Uphoff PNAS 2013; Zagajewski, Nature Comm Biol 2023, Chatzimichail, Lab-on-a-chip 2024) and applying them
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. Our group develops, validates and applies novel MRI techniques for basic and clinical neuroscience. This post will focus primarily on ex-vivo and in-vivo peripheral nerve imaging data, for ongoing
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relevant to setting a roadmap for ongoing experiments, as well as recently developed applications of tensor network techniques to large-scale partial differential equations. We are advertising two positions
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About the role We are seeking a highly motivated and ambitious Postdoctoral Researcher. This position focuses on developing innovative cancer treatments, particularly within the field of antibody
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NHS Foundation Trust. The post holder will be a member of the Retinal Disease and Repair Group (Xue Lab) with responsibility for carrying out research to develop advanced therapies for inherited
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scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor
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the commercialisation of all-solid-state batteries. Of particular interest is the development of electro-chemo-mechanical phase field models to predict void evolution and dendrite growth (see, e.g., doi.org/10.1016
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scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor
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climate forecasting. The aim of the project is to develop innovative solutions to better understand and correct the SNP, improving climate predictions for the Euro-Atlantic region and beyond. Applicants