352 structural-engineering-"https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in United Kingdom
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Engineering, Physics or Materials Science and skills in crystallography (including advanced skills in solving crystal structures) as well as the ability to take responsibility for research planning and
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recognised scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About The Role This is an exciting opportunity for a Postdoctoral Research
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duration is six years from the start date. For more information about our research focus and team, please visit our homepage: https://mathematik.univie.ac.at/forschung/biomathematik-dynamische-systeme
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models of species’ range dynamics. For more information please see https://bdc.univie.ac.at/ . We are currently offering a post-doc position (temporary replacement, until 30/06/2028). The successful
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Applications are invited for a postdoctoral researcher developing new families heterogeneous catalysts based on nanostructured supports with controlled surface chemistry and electronic structure
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, contributing to cutting-edge research with relevance to human health. You will support ultra-structural imaging experiments using cryo-imaging techniques such as cryo-SIM and cryo–X-ray tomography, alongside
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About the role We are seeking an enthusiastic Postdoctoral Researcher to join the School of Engineering and Materials Science at Queen Mary University of London. The successful candidate will
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Grade UE07: £41,064 - £48,822 per annum pro-rata if part-time College of Science and Engineering / School of Biological Sciences Full-time: 35 hours per week Fixed-term: for 36 months
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and AI Virtual Institute (HAVI), funded by the Schmidt Sciences Foundation. The research assistant will work with Dr Sebastian Ahnert's Structural Complexity research group in the Department of Chemical
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Applications are invited for a Postdoctoral Research Associate with expertise in optical spectroscopy, structural characterisation techniques and modelling applied to next-generation semiconductors