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incorporated into cellular function. We are now looking for a postdoc to study the physicochemical properties of membraneless organelles and the links to neurodegenerative disease. The candidate will have
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statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
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work on the PANGEA-HIV project, analysing viral sequence data to assess how effective broadly neutralising antibodies may be against current HIV strains in Southern Africa. Second, you'll support early
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advanced spectroscopic and structural techniques, this postdoctoral project will establish clear correlations and mechanisms linking core properties critical to efficient light-harvesting with basic material
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reverse genetics for generating recombinant influenza viruses, proximity labelling, and cross-linking mass spectrometry. The positions would suit enthusiastic and highly organised postdoctoral scientists
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hematopoiesis research. Experience generating genomics data from leukaemia samples with the ability to manage your own academic research and associated activities are essential. The post is available fixed-term
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the application of health economics methods to patient-level data as well as acting as a source of information and advice to other members of the group on health economic methodologies or procedures. About You You
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in machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to adel.bibi@eng.ox.ac.uk For more information about working at
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personal protection equipment (PPE). Your responsibilities will encompass developing new robotic benchmarking testing setup, hardware and controller of a robotic mechanical impactor, and data acquisition
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely