558 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Oxford
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. The department is currently involved in the early stages of the University’s Digital Transformation Programme, which aims to define and implement agile methodologies and a product mindset. This position will be
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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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lab has developed the OrthoFinder comparative genomic methods. OrthoFinder has become widely-used in comparative genomics research, it powers many popular databases of online genomic information, and
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We are seeking five full-time Postdoctoral Research Assistants to join the Computational Health Informatics Lab at the Department of Engineering Science, based at the Institute of Biomedical
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the performance of lithium ion technologies. To support the programme, the post holder will be required to carry out research on characterisation of battery degradation, with a particular focus on the application
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Oxford-Weidenfeld and Hoffmann Scholarships and Leadership Programme For more information about the scholarship visit the Weidenfeld and Hoffmann Scholarships and Leadership Programme page.
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well as generating and interpreting high-quality visualisations of complex pQTL data, such as Manhattan plots, concordance scatter plots and Miami plots. You will also apply advanced statistical genetics methods
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Oxford-DeepMind Graduate Scholarship (Computer Science) The Oxford-DeepMind Graduate Scholarships (Computer Science) are available for applicants to any full-time DPhil course within, or affiliated
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of marketing materials and contribute to applicant yield and retention initiatives. Take ownership of specific recruitment or programme-related projects and events, managing budgets and timelines. You will
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, infectious disease epidemiology, systems immunology, computational biology etc) and have experience using statistical methods and machine learning tools, and in developing reproducible informatics pipelines