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supervision, are self-motivated and have strong computational and scientific writing skills. We provide a nurturing environment and access to high-dimensional pathogen genome, human mobility, epidemiological
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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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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 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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optimising protocols, designing and accurately executing experiments, and contributing conceptually to the overall research programme. Good organisational and communication skills and the ability to work as
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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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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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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...