41 computer-algorithm-"Prof"-"Washington-University-in-St" Fellowship positions at University of Nottingham in United Kingdom
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. The Research Associate/Fellow will be a human computer interaction (HCI) specialist in qualitative (interview) data collection, analysis, and sensemaking. They should also have a broad understanding of
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&PI) Theme of the NIHR Nottingham Biomedical Research Centre (NBRC), Queen’s Medical Centre, University of Nottingham. This is an exciting opportunity to join the MR&PI team led by Prof Dorothee Auer
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of crystallization and glassy dynamics. In collaboration with theorists Prof. Juan Garrahan (UoN) and Prof. Kranthi Mandadapu (UC Berkeley, USA), the project will build on previous work [J.G. Downs et al PRL 127
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-network theory, assemblages, processual ontologies, regulation and governance). This project benefits from proximity to Prof Tomczak's international prison HEALTH research group, along with its location
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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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and Delivery of Healthcare’ (PI Prof M Bhutta, Brighton and Sussex Medical School, University of Sussex). The vision is to create a world-leading hub to support the NHS to become a low carbon provider
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to Profs. Darren Walsh, Lee Johnson, and Graham Newton. The lithium-sulfur battery is very promising for our future energy-storage requirements, as it has the potential to exceed the specific energy of
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PhotoEmission Spectroscopy (ARPES)instrument. The successful candidate will work with Prof Peter Wadley, Dr Richard Campion, and Dr Kevin Edmonds within the Spintronics Group in the School of Physics and
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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB
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friendly and highly experienced team undertaking a qualitative research and educational development project funded by the Burdett Trust for Nursing, Women’s Health Grant Programme. The project seeks