335 computer-programmer-"Multiple"-"U"-"Prof"-"O"-"O.P" "U.S" Postdoctoral positions in United Kingdom
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for candidates with a strong foundation in human physiology and metabolism, and a passion for impactful, translational science. Key Responsibilities: Research Design and Implementation: Plan and execute
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development laboratories at Guy’s Campus, London Bridge. The group specialises in inventing custom fluorescence-lifetime and multiphoton technologies and coupling them with powerful computational pipelines
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well as clinical phenotyping in participants. The work will involve close collaboration with other team members, driving the programme on aetiopathology of neuropsychiatric disease forward. It will also involve
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of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse single-cell modalities, focusing on gene
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning
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advantage. The PDRA will expand their research skills through working with multiple sources across the study region and its zones of contact as feasible. They should have knowledge of the relevant history 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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or computational). You should have the skills to manage your project at times and support colleagues within the lab. You will communicate clearly with the team.
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially