62 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" Fellowship positions at University of Nottingham
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translation of innovative miniature, hair-thin imaging devices we have previously developed [https://doi.org/10.1117/1.JBO.29.2.026002]. These devices are designed to enable early and accurate detection
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: - Have experience of using eye-tracking and/or psychophysiological methods (e.g., EEG/fEMG/EDA/heart rate monitoring) to study written language comprehension, including stimuli development, experimental
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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
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We are seeking an ambitious and highly motivated postdoctoral researcher to help develop the next generation of fibre-based optical imaging and spectroscopy tools. This EPSRC-funded role is central
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, spread and transmission of drug-resistant pathogens under the One Health concept, and to use this knowledge to develop an innovative AI-powered surveillance solution. The research fellow will take a
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We are seeking a highly motivated and qualified Research Associate to join a cutting-edge research project focused on the development of sustainable flower waste biorefineries for applications in
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closely with companies and academics on a portfolio of externally funded translational research and services for business projects. They will develop and undertake collaborative laboratory-based projects
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We are seeking a highly motivated and qualified Research Associate to join a cutting-edge research project focused on the development of sustainable flower waste biorefineries for applications in
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, conducting, and writing up research as part of an MRC project led by Dr Tanya Monaghan on developing and evaluating microRNA-based nanoscale delivery systems for inflammatory bowel disorders. The work focuses
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will play a lead role in the production and analysis of these simulations, including code development, simulation runs, and like-with-like comparisons to observations. Moreover, you are encouraged