471 systems-science-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United Kingdom
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independently as well as part of a team. We encourage scientists from all disease backgrounds, but with the necessary cell/molecular biology experience, to apply. It is essential that you hold a degree in
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) Location: Department of Engineering, University of Exeter The Role The Faculty of Environment, Science and Economy seeks a Postdoctoral Research Associate to join the ARIA-funded NEUROBOT project
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Full Time, Fixed Term Contract for 34 months The closing date for applications is 23.59 on 13th February 2026 By reference to the applicable SOC code for this role, sponsorship may be possible under
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students in the group. Candidates should have strong training in cross-disciplinary applied mathematics, with a demonstrated interest in biology, and experience in machine learning approaches is a plus. We
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of this project is to understand the evolution of the membrane proteome across the tree of life. The main responsibilities will be to identify ancient gene families that encode membrane proteins and then use a
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Hopkins University (USA). About the role The PDRA will advance next-generation mapping methods for equitable and intelligent epidemic surveillance, contributing to the development of scalable GeoAI systems
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of doctoral students in the group. Candidates should have strong training in cross-disciplinary applied mathematics, with a demonstrated interest in biology, and experience in machine learning approaches is a
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, with a theoretical energy up to ten times that of current lithium-ion cells. This role is part of an exciting project that brings together scientists and engineers to tackle the key challenges preventing
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centre of teaching and research excellence, a warm and friendly place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading universities, Durham is an
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THE CENTER FOR MATERIALS INNOVATION AND TECHNOLOGY (CMIT) Materials science underpins nearly every modern technology from clean energy and AI to electronics, biomedicine, defense, and space