100 parallel-and-distributed-computing Postdoctoral positions at University of Oxford in Uk
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leadership skills as a postdoctoral researcher. This position is for 12 months at Grade 7. You will be working in either the rapidly emerging area of functional material photonics in non-von Neumann computing
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British Heart Foundation (BHF) Professorship awarded to Professor Keith Channon. As the senior scientist you will lead a programme of research investigating the molecular mechanisms of cardiovascular
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completion of, a relevant PhD/DPhil together with relevant experience. You will have the ability to lead and report an original research programme, as shown by a documented research track record, including
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SECURE project, a major multi-partner programme developing self adaptive gene therapies for neurological disease. This will involve (1) producing a single nuclei atlas of the substantia nigra and (2
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between multiple organoid models. You will contribute intellectually to the development of the research and help shape the wider research programme. Responsibilities will also include helping with
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About the role The Department of Chemistry is seeking to appoint a Postdoctoral Research Associate to join the Robinson Lab’s translational research programme funded by a leading pharmaceutical
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Integrating and Predicting Responses of Natural Systems to Disturbances . About you The successful candidate will develop and test new theoretical and computational frameworks linking population and community
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to 2 years. The project involves synthesis of organic small molecules and investigation of their dynamics using computational modelling and advanced spectroscopic techniques. For related work from the
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ovarian cancer prognosis, COVID-19 prediction, and childhood mental health. You will have (or be close to completing) a PhD in a quantitative discipline such as computer science, mathematics, statistics
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that form our core research programme. They will be a cornerstone of the centre, collaborating across our three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and