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Master’s degree in physics, mathematical biology, computational biology or a related subject. They should have good skills in programming languages such as Python, MATLAB or R, and experience in image
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the responsible deployment of AI in clinical environments. To be considered, you must hold a Masters degree in engineering, mathematics or computational and have demonstrated experience in programming
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the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake
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immediately on arrival. IOI, part of the Mathematical, Physical and Life Sciences Division, has access to world class expertise and resources in infection biology, organic and medicinal chemistry, pharmacology
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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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As a staff member in the Department of Chemistry within the Mathematical, Physical and Life Sciences (MPLS) Division, you will be working in Kavli Oxford as an interdisciplinary institute where
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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offers significant opportunities for growth and development as an academic. About You You will have a degree in a relevant subject (including, but not limited to, data science, statistics, computer science
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance