28 postdoctoral-soil-structure-interaction-fem-dynamics Postdoctoral positions at University of Cambridge
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Research Associate (Postdoctoral Scientist) or Research Assistant to contribute to core aspects of the project, including: Development and preclinical testing of vaccine-based prevention strategies; Immune
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Fixed-term: The funds for this post are available for 1 year in the first instance. Applications are invited for a Postdoctoral Research Associate to join the research group of Professor Dame Clare
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postdoctoral researchers in synthetic organic chemistry in the Department of Chemistry at the University of Cambridge. The successful candidate will join the dynamic and collaborative research group of Professor
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initiation, focusing on complex cell¿cell communication dynamics (e.g., Nature 2024 PMID 39112713) The successful candidate will work closely alongside a postdoctoral research associate, Dr Iannish Sadien
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postdoctoral researchers, students, and other research staff in the group. Key responsibilities will include: Performing successful engraftment of patient biopsies or cell lines to generate xenograft
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We are inviting applications for a curious and motivated Postdoctoral Scientist (Research Associate) to join the de Hoz lab at the Department of Physiology, Development and Neuroscience. The de Hoz
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Full Time, 1 year fixed term contract We wish to appoint a Research Assistant or Postdoctoral Research Associate with experience in Electronic Health Records (EHR) research to work alongside the
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the coordination of large-scale robot systems (ground and aerial). The ideal candidate will possess hands-on experience with designing and implementing reinforcement learning algorithms, and deploying them onto real
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The purpose of this Postdoctoral Role in Image Analysis is to collate and curate data from MRI and CT studies conducted on patients and volunteers, as part of the TBI-REPORTER initiative
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interactions in the condensed phase and at surfaces, with a particular emphasis on the development and application of first principles and/or machine learning approaches. Research in the Michaelides group