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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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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 post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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-certification, and redeployment, as well as social acceptability and policy design. About you You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics
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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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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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activities, and adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and developing new ones. Other responsibilities will include analysing quantitative imaging
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, applied mathematics, or related fields. The ideal candidate should be organised, highly motivated, creative, and interested to work as part as a collective. A strong track record of first-author
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The Nuffield Department of Population Health (NDPH) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. The NDPH Fellowship programme is intended to support suitably experienced individuals to develop an...
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The Nuffield Department of Population Health (NDPH) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. The NDPH Fellowship programme is intended to support suitably experienced individuals to develop an...