216 high-performance-computing positions at University of Nottingham in United-States
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utilize preclinical tumour models, high dimensional techniques including spatial mass spectrometry and immunocytochemistry, alongside complementary state-of-the-art molecular biology approaches to identify
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of electrical machines and equipment. About the Role Primarily the electrical, mechanical and data acquisition setup of high-performance test stands in readiness to carry out the testing campaigns for customers
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assessments. The project explores the valorisation of floral waste streams into high-value products such as bio-based fragrances with potential applications in sectors such as personal care, cosmetics and
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-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning
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the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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performing multi-disciplinary teaching and research. The purpose of this role will be to deliver timely and high-quality support for the School of Medicine teaching facilities under limited supervision. You
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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utilising a common primary signalling machinery (i.e. G proteins). The successful candidate will evaluate a panel of up to 12 different GPCRs using high-throughput, plate reader-based BRET and FRET assays