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a materials engineering perspective: energy systems, advanced manufacturing and materials, computational and data-driven engineering, and robotics. The Department of Engineering is one of the few
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Applications are invited for a University Assistant Professor in the area of ethical and trustworthy use of machine learning. This is a joint post between the Department of Engineering and the
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an internationally leading research programme. At a national level, they will be expected to help drive collaborative working across the CRUK research network and, at an international level, be an advocate for CRUK
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of an integrated approach to risk-stratified screening, following the success of the BRAID trial. This work will help inform NHS Breast Screening Programme policy, assessing the value of supplemental imaging based
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in a quantitative subject (e.g. Bioinformatics, Biostatistics, Bioinformatics, Computational Biology, Epidemiology, Health Data Science or similar).* Expertise in processing large genomic datasets
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) cbl.eng.cam.ac.uk in the Information Engineering Division. CBL combines expertise in machine learning with computational neuroscience. The candidate will lead a research programme in one or more of the following