374 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in United Kingdom
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This is a fixed term externally funded role for 18 months offered at 0.9 fte. The role starts 1st July 2026. The role Based within the Faculty of Health, Science and Technology and reporting
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, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised research records, and working in accordance
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A National Institute of Health and Care Research (NIHR) Health Technology Assessment funded Postdoctoral Research Associate (PDRA) position is available at the Department of Cardiovascular and
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research and teaching in the fields of marine evolutionary genomics and climate change adaptation. University-internal structures and programs, such as the Vienna Doctoral School of Ecology & Evolution
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, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised research records, and working in accordance
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to disrupt cancer-relevant protein–protein interactions. The project will focus on the design, synthesis, and biological evaluation of structurally constrained peptide macrocycles that access bRo5 chemical
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University Hospital) will support TomoGrav’s planned technology transfers to, respectively, SKA, space geodesy, and MRI. The partners will actively participate to the research and host the postdoctoral
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technical direction of the project. About You Applicants must hold a PhD (or equivalent research experience) in engineering, chemistry, physics, materials science, or a related discipline. Some of the
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. The group investigates both the fundamental properties of these proteins and their applications in biotechnology. A long-standing focus of the laboratory is the engineering of protein nanopores
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science, engineering, or a related discipline, with significant postdoctoral research experience. The ideal candidate will have strong expertise in computational biology, machine learning, and quantitative analysis