131 high-performance-computing-postdoc Postdoctoral positions at University of Oxford in ireland
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suit someone with a high level of organisational skills and keen to share some responsibility of looking after the laboratory, alongside their own bioinformatics work and acting as a conduit for
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programme grant with partners across the UK to facilitate the use of hydrogen for aviation, and in particular the icing vulnerability of heat exchangers and parts of the airframe. You will work to generate
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Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the
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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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management of sport injuries, with emphasis on safety rather than performance. You will be part of an interdisciplinary team of pioneering researchers, with the primary aim to develop cutting-edge robotics and
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science, who are excited about testing conceptual biological questions in vivo, and who thrive in professional and high-pressure environments where scientific curiosity and focus drive excellence. You will
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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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the Institute and at national and international meetings/conferences. You will be expected to actively participate in Group/Institute research meetings and internal seminars as well as submit publications to high
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deliver the first comprehensive assessment of current and future high-impact extreme weather events in Antarctica and their associated risks. Key risks include impacts of extreme weather on vulnerable ice
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far; strong gravitational lensing). Under the supervision of Prof. Martin Bureau, the postholder will primarily work with the international WISDOM team on high spatial resolution (~10 pc) ALMA studies