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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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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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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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quantifying antimicrobial sensitivity plus the use of in vitro virulence factor bioassays. Candidates must hold a PhD (or close to completion) in Microbiology or relevant subject area. This full-time (36.25
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of disseminating research findings (e.g., through journal publications and conferences). - Have a PhD in Psychology or a related discipline (the PhD thesis must be submitted prior to starting the position). What we
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must have an MSc or PhD in forensic psychology, or a related field. The project involves recruitment online using a detailed survey, and a video interview, in a small subset of the sample. Recruitment
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likely extension. Salary: Research Fellow: £31,637 to £46,735 per annum (pro-rata if applicable) depending on skills and experience (minimum £35,116 with relevant PhD). Senior Research Fellow: £45,413
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able to plan and conduct your own work independently, whilst also being able to build relationships and collaborate with others. A PhD (or near to completion) in human metabolic physiology, nutrition
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required. About You - PhD in relevant subject area; - Excellent communication, presentation and writing skills in English; - Proficiency in laboratory techniques and analytical methods relevant to catalysis
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: Candidates should have a PhD in a relevant field and experience or demonstrable interest in working as part of a research team. You will be at a relatively early stage of your academic careers. Funder