61 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at University of Nottingham
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, to deliver the final stages of this multi‑year research programme and support the production of high‑quality scientific outputs. About you- You will bring strong data analysis skills, including
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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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. Summary This programme of research builds on our previous studies where we identified genes we believe mediate pain and inflammation in the joints of patients with osteoarthritis. The aim of the current
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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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The School of Medicine, University of Nottingham is looking to appoint a Research Associate/Fellow to join the Digital Cancer Screening Research Group in Translational Medical Sciences. This role will have specific responsibility for research and for developing research objectives and proposals...
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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