16 computer-programmer-"https:"-"https:" Postdoctoral positions at University of London
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common complex human genetic diseases using genomics and other omics data within large-scale health datasets. The postholder will contribute to objectives and development of a research programme funded by
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common complex human genetic diseases using genomics and other omics data within large-scale health datasets. The postholder will contribute to the objectives and development of a research programme funded
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About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI
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, to deliver the aims of the programme. The PDRA will join a team working on extracellular vesicles as well as other aspects of inflammation resolution, with close attention to the exploit this science for
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level in the relevant subject area for the research programme; with a productive track record and have experience covering the full range of duties required. About the Institution The Faculty of Medicine
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degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have
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space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs. Further, DERI leads the University’s participation in The Alan Turing Institute, the UK
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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access to cutting-edge field and laboratory facilities including a high performance geospatial computing suite, UAV sensing platforms including LiDAR, thermal and multispectral imaging, and GNSS surveying
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or