49 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " Fellowship positions at University of Nottingham
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The Nottingham Transportation Engineering Centre (NTEC) is seeking a highly motivated Research Fellow in the field of sustainable pavement engineering for an initial period of 6 months. This role
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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
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and now has over 200 members, 24 academics and circa 130 PhD students, researchers, and engineers. The group offers state-of-the-art facilities spanning 3500m², capable of handling up to 5MW
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. This role involves working with proprietary, genetically engineered bacteria to produce high yields of polyhydroxybutyrate (PHB) from greenhouse gases. You will be responsible for bridging the gap between
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Shrike Zhang’s Laboratory in Harvard University, USA. The ideal candidate is highly organised and detail-oriented. They should have proven experience in microfluidic systems, tissue engineering, or related
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skeletal muscle metabolism. The post holder will be responsible for the day-to-day running of this programme of work as part of Prof Tsintzas’ research team in the Division of Physiology, Pharmacology and
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of research and industry to pursue clinical translation of this new material. Candidates should hold (or be near completion of) a PhD in Biomaterial Science and Tissue Engineering, or a closely related field
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Applications are invited to join an ERC-funded research programme in the laboratory of Dr Vinay Shukla. The position is part of the project BreathingUnderground, which explores how oxygen
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Physics, Environmental Engineering, or a related field, and strong quantitative and analytical skills. You will gain experience contributing to an international research consortium funded by ARPA-H, engage
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mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent