112 postdoc-parallel-computing Postdoctoral positions at University of Oxford in United Kingdom
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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
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central eighteenth-century areas of concern such as campaigns for the abolition of the slave trade or early forms of constitutionalism. The Postdoctoral Researcher will also assist with a programme of
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We invite applications for a Postdoctoral Research Associate to join a research project funded by an EPSRC grant. The position is offered on a fixed-term basis until 31 August 2026, with a maximum duration of ten months (10 months), and is full-time. Reporting to Prof. Gesine Reinert, the post...
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with researchers from other disciplines within the Oxford Martin Circular Battery Economies Programme, who are working on second-life battery modelling, re-certification, and redeployment, as
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Computational Methods for Advanced Research to Transform Biomedicine ( SMARTbiomed ), an international collaboration that integrates large-scale, multimodal biomedical data with advances in statistical and
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sciences or a related field would be beneficial, especially computational social science, behavioural science, communications, statistics, economics, computer science, finance, or management. Experience
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with different diseases in diverse populations and to identify potential therapeutic targets. This is an exciting opportunity to contribute to a programme of research that assess the causal relevance
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collaboratively with the Health Systems Collaborative at University of Oxford and the KEMRI-Wellcome Trust Research Programme (KWTRP) in Kenya. As a Postdoctoral Researcher, you will bring theoretical and practical
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trials, analysing and presenting data, contributing to manuscripts for publication and training, and supervising junior staff. You will participate in the research programme led by Professor Adrian Hill
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Alliance. Other duties will include contributing to community activities such as seminars and networking events and developing skills in many areas of computational biological research via independent study