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and optimising assays aimed at target validation; principally through immunogenicity assays in animal models. You will also conduct experiments aimed at understanding the tumour-immune microenvironment
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relevant to setting a roadmap for ongoing experiments, as well as recently developed applications of tensor network techniques to large-scale partial differential equations. We are advertising two positions
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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About the role We are seeking a highly motivated and ambitious Postdoctoral Researcher. This position focuses on developing innovative cancer treatments, particularly within the field of antibody
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to the preparation of the research papers as well as represent the group at external meetings either alone or with others from the group. It is essential you hold a PhD/DPhil (or close to completion) in a relevant
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to junior members of the research group, including PhD students and project volunteers. The position is offered on a fixed-term basis until 30 September 2028, with a maximum duration of 24 months (twenty-four
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, activation, and effector functions in preclinical models of autoimmunity. This research is part of a broader effort to define how inhibitory receptors tune T-cell responses in health and disease, ultimately
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execute experiments and contribute conceptually to the overall research programme. The post-holder should hold, or be close to completion of, a PhD/DPhil in biochemistry, molecular/cell biology or genetics
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Applications are invited for a Postdoctoral Research Associate in Atmospheric Dynamics position. This role is part of the recently funded NERC ‘Arctic Butterflies’ project to investigate the role
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on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related discispline. You