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Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based on autofluorescence (AF) imaging
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mathematical problems and to develop as independent researchers. About the role The successful candidate will work closely to Dr. Matteo Tanzi to contribute to the EPSRC grant: "Strongly Coupled Maps
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Mathematics and Mathematical Statistics. Duties include developing and conducting an individual program of research. The successful candidates will usually be associated with one of the departmental research
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