99 computer-programmer-"https:"-"U"-"Inserm"-"https:" Postdoctoral positions at University of Oxford
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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irradiation damage of materials, who is self-motivated and able to plan and deliver a complex research project. You will have a relevant PhD (or be near completion) in Materials Science or Physics and will have
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leadership skills as a postdoctoral researcher. This position is for 24 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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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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pension schemes, staff discounts, and family-friendly initiatives. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your
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closely related discipline, possess sufficient specialist knowledge in the discipline to work within established research programmes and have the ability to manage their own academic research and associated
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hold, or be close to completion of a DPhil/PhD in wearable sensors or a closely related field and possess sufficient specialist knowledge in the discipline to work within established research programmes
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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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of computational biology, molecular biophysics, and cutting-edge analytical technologies. You’ll contribute to the development and application of computational methods to understand protein folding, structure, and
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researchers will extend and apply the ideas of active matter physics in biological contexts, developing theories and cell-scale and continuum computational models. The work will focus on identifying physical