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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development
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to determine whether the Hubble tension arises from observational issues or from limitations in the current cosmological model by combining lensing information and dynamics of the lens to measure H0
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high-resolution datasets that reveal new insights into disease progression, with the ultimate aim of identifying novel biomarkers and therapeutic targets. You will hold a relevant PhD/DPhil, together
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experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students. The research activities will take place in the state of the art facilities provided
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years This role will contribute directly to drug discovery efforts through the design and synthesis of small-molecule inhibitors. The postholder will use structural, biochemical and microbiological data
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, microbiologists and immunologists at Oxford, as well as with external partners, the postholder will contribute to hypothesis-driven research, data analysis and assay development within an integrated drug discovery
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genome encodes gene expression levels. You will undertake large scale data generation from primary human samples using a method recently pioneered by the host laboratory (Hua et al., Nature 2021 https
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development. For staff on work visas, we also offer financial assistance towards visa renewal fees. Please visit our website to find out more about the Department. About you You will have a PhD, with proven and
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questions and defining application domains. They will also have opportunities to provide guidance to other members of the project group (such as PhD and collaborating Postdoctoral Researchers), and to present
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Neuroimaging, MRC BNDU, and the Oxford Health NIHR BRC. About You You will hold a PhD in biomedical engineering, neuroscience, or a related field, and have experience in the development of technological systems