97 algorithm-development-"Multiple"-"Prof" Postdoctoral positions at University of Oxford in United Kingdom
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to evaluate and stress-test LLM agents in system-level environments. Studying adversarial threats and hijack scenarios. Developing practical safeguards and certification strategies to ensure safe execution
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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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by the EPSRC. The research will involve developing new controlled polymerization catalysts to deliver carbon dioxide-derived and bio-derived polymers. The catalysts, and processes, used to make
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The Faraday Institution has funded a new research consortium project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT)”. This collaborative project between
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potato and wheat. The post holder will be a member of a collaborative research consortium involving academic and industry partners. There will be opportunities for personal development, mentoring with
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holiday, generous pension schemes, travel discounts, and a variety of professional development opportunities. Our range of other employee benefits and discounts also includes free entry to the Botanic
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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work
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of the project will be to develop trajectories of dietary change towards healthier and more sustainable diets with a particular attention to alternative protein sources, and to integrate environmental, health, and
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initially fixed-term for 12 months with possible extension. The Podium Institute constitutes a world-unique ecosystem within which to develop and validate new technologies for the diagnosis, prevention, 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