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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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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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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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, Statistics, Mathematics, Computer Science, or a related computational field with demonstrated relevance to tissue biology or immunology—particularly in the context of inflammatory diseases—or a PhD in
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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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/ computational biology / life sciences discipline, or relevant field such as computer science, mathematics or statistics. You will have substantial experience in the analysis of large datasets, which will allow
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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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Leedham and Professor Helen Byrne at the Mathematical Institute University of Oxford. You will work as part of the Oxford Spatial Biology Group, a large multidisciplinary team of mathematicians