229 computer-programmer-"https:"-"Prof"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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an interdisciplinary team led by Dr Peter Etchells. The successful applicant will be expected to plan and perform genetics, gene expression, and phenotyping aspects of the project. Key responsibilities: To understand
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handling of anhydrous hydrogen fluoride and the development of physical organic models to assess their reactivity. High level computational techniques will be used to aid understanding. This exciting
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Hopkins University (USA). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for
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and of research methods and techniques to work within established research programmes. Applicants will be able to perform ultrafast optical measurements, integrate items of advanced instrumentation, and
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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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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs. Further, DERI leads the University’s participation in The Alan Turing Institute, the UK
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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