112 parallel-and-distributed-computing-"UNIS" Postdoctoral positions at University of Oxford in United Kingdom
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We are seeking a motivated and experienced Postdoctoral Research Assistant to join a flourishing program of research led by Dr. Rachel Tanner, studying tuberculosis (TB) with a focus on novel TB
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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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-collaboration-in-biostatistics-and-artificial-intelligence-in-medicine As a Senior Postdoctoral Researcher, you will be responsible for planning and managing your own research programme within the collaboration
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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and social data with the aim to better understand energy use. The programme is an interdisciplinary collaboration between the School of Geography and the Environment (Oxford), the Department
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understand drug targets and antimicrobial resistance (AMR) in Mycobacteria. MOLECULAR/COMPUTATIONAL MICROBIOLOGIST/BIOCHEMIST (Postdoctoral Research Associate) The successful candidate will develop and apply
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applications. In this role, you will take the lead on an independent project within our broader research programme. Your work will centre on identifying and characterising novel regulators of the immune response
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. The advances made will contribute to our active existing research programme in which utilises THz technologies for optical-pump-terahertz-probe experiments to extract mobility values of semiconductors. The role
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We are seeking a Postdoctoral Research Associate to join the Ghafari Research Group in the Department of Biology, University of Oxford. The group focuses on studying the mode and tempo of pathogen molecular evolution, particularly in viruses with epidemic and pandemic potential, as well as those...
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experimental and computational approaches are employed to shine light into key biological processes during the life of parasitic flatworms. Large-scale sequencing datasets (‘omics’) are generated and analyzed