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on spatial and temporal development of hydrogen jets injected into high-pressure and temperature shock-tube environments. You should possess (or be near completion) a relevant PhD/DPhil in engineering
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a PhD/DPhil or equivalent in a quantitative discipline such as computer science, statistics, machine learning, statistical or population genetics, or a related field. They should have experience in
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Novo Nordisk funds a prestigious fellowship programme at the University of Oxford, supporting basic science researchers in diabetes, obesity, cardiovascular diseases, and other cardiometabolic
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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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PREVIOUS APPLICANTS NEED NOT TO APPLY! We are seeking to appoint a Senior Postdoctoral Researcher in Genomics of Myeloid Disorders to join the computational genomics group led by Prof Schuster
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-quality data on spatial and temporal development of hydrogen jets injected into high-pressure and temperature shock-tube environments. You should possess (or be near completion) a relevant PhD/DPhil in
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techniques for delivery of high-quality quantitative data on spatial and temporal development of hydrogen jets and their mixing behaviour You should possess (or be near completion) a relevant PhD/DPhil in
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on spatial and temporal development of hydrogen jets injected into high-pressure and temperature shock-tube environments. You should possess (or be near completion) a relevant PhD/DPhil in engineering
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of human musculoskeletal tissues and undertake computational analysis of multi-omic datasets of human musculoskeletal tissues. You will be adapting existing and developing new experimental protocols
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to produce optimal designs. Applicants should have skills in modelling, familiarity with partial differential equations, and be familiar with python. They will have, or be close to completing, a PhD in