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Field
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field relevant to the interface of energy technology, economics, data science and public policy. Examples of relevant disciplines include (but are not limited to): any physical, mathematical, computer or
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. You will be responsible
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provided to support research programme costs. Applicants should have, or have submitted a relevant PhD by the start date, have a clear, feasible and relevant research proposal and the ability to manage their
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computational modelling to investigate a wide range of questions in the UK and overseas. What we are looking for: PhD in one of the following areas: Mathematical Modelling, Statistics, Infectious Disease
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PhD in an appropriate discipline such as Earth observation, data science or computer science Knowledge, Skills & Experience Sufficient breadth or depth of specialist knowledge, in the application
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effectively in a multidisciplinary research environment. You may also: Hold a Masters or PhD in Computer Science, Bioinformatics, Computational Statistics, or a related field. Have demonstrated experience in
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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its future and associated space-weather hazard over the next 20 years. You will have a PhD (or close to completion) in geophysics, physics, applied mathematics or similar highly numerical discipline
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innovation sectors. The Department of Computing and Mathematics, within the Faculty of Science and Engineering, is a dynamic and research-active community comprising over 80 academic staff and 2,000 students
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the grade and purpose of the post PhD in one of the following areas: Mathematical Modelling, Statistics, Infectious Disease Epidemiology or related subject or a similar quantitative discipline. Programming