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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
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regenerative tea production system’. About the Role We are looking for a full-time postdoctoral Research Fellow to work on a high-profile project funded under the BBSRC’s Prosperity Partnership programme, a
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 2 hours ago
a Research Fellow to contribute to a research programme examining how digital environments influence adolescent health. The postholder will lead the analysis of the UK Household Longitudinal Study
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individually, make a real difference. The role The main purpose of the job is to undertake research and support the delivery of the OSMOSIS research programme as required. OSMOSIS is funded by the National
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. The successful candidate will create a computational framework that bridges atomistic insights and cell-scale behaviour, enabling improved understanding of multi-mechanism sodium storage, phase transitions, and
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and how to present the bid to maximise the likelihood of securing the funding. Scope of the role: • Work closely with the ReLiB scientists to measure their life cycle inventories, provide LCA
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for Selective Absorbers. Your primary role will be to undertake theoretical and computational research on hyperuniform disordered photonic materials for frequency-selective solar-thermal absorbers based on metal
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collaborators with material, and develop an understanding of the relationship between shredding conditions, safety, and recyclability Characterising, separating, and purifying, cells, cell components, and black
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The Opportunity: The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a non-clinical Post-doctoral Research Fellow to conduct original research
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience