93 algorithm-development-"Prof"-"Prof"-"Prof" 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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, defensive mechanisms and related topics to the safe deployment of systems contain multiple LLM and VLM powered models. You will be responsible for Developing and implementing; capability evaluations, attacks
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a highly-motivated and technically-skilled scientist to join our team in pushing networked-based quantum computing to the next level. As well as driving forward the design, development and
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case study development. With experience undertaking in-depth fieldwork, ideally in complex, multi-actor or public sector environments, you will have the ability to synthesise insights across cases and
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molecular evolution, particularly in viruses with epidemic and pandemic potential, as well as those with significant implications for plant and animal health. This post is part of a Wellcome Trust-funded
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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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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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to determine the activators of inflammation in atherosclerosis. You will identify and develop suitable techniques, and apparatus, for the collection and analysis of data (e.g. flow and mass cytometry, confocal
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calculations and Brownian Dynamics simulations. The group is looking for a highly motivated and driven postdoctoral researcher to contribute strongly to a wave of ongoing developments deploying this technology
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on the electrosolvation force under development in the group. The planned investigations are primarily experimental in nature, but will proceed in close conjunction with insight from theory and simulations. The ideal