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in UK hospitals. The studentship would be suitable for applicants with general interests in machine learning, signal processing, computational statistics, and biomedical engineering. It is an
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DPhil Studentship in Experimental Soft Matter (Fluctuations in microfluidic and nanofluidic systems)
physical chemistry, particularly soft matter chemistry/physics and statistical mechanics. Applicants should have, or be expecting to obtain, a first or upper second-class Masters honours degree in chemistry
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statistical skills and synthesising information from different sources, and, most importantly, wanting to contribute to improving the health and wellbeing of children and young people. We are seeking someone
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. Being self-motivated and enthusiastic about AI for healthcare. Have a good first degree in computer science, biomedical engineering, applied statistics/mathematics, or any-related field. Strong problem
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: Earth Sciences, Bioscience, Future Propulsion and Power, Inorganic Chemistry for Future Manufacturing, Synthesis for Biology and Medicine, Statistics and Statistical Machine Learning, Mathematics
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The scholarships have been made possible through the support of the late Dr Frances Marriott (a University lecturer in biomathematics and taught statistics and a Fellow of Wolfson College) and by departments and