108 postdoc-parallel-computing Postdoctoral positions at University of Oxford in United Kingdom
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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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, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge in the operation of high-pressure high-speed tunnel/shock-tube facilities and associated instrumentation
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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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. 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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PhD in Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in computational chemistry, including machine learning
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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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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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objects such as neutron stars and black holes. Strong computational experience and proficiency in simulations is highly preferred. The post-holder may be expected to help in the supervision of DPhil and
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The post will be based within the Oxford Centre for Functional MRI of the Brain (FMRIB), reporting to Professor Saad Jbabdi. Our group develops, validates and applies novel MRI techniques for basic and clinical neuroscience. This project involves development of machine learning methods for...