114 senior-lecturer-distributed-computing Postdoctoral positions at University of Oxford
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Health, Geography, Global Affairs, or a related field, possess sufficient specialist knowledge in the discipline to work within established research programmes, experience writing computer code in Stata
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well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 3 years. The closing date for applications is noon
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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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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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. 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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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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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