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ovarian cancer prognosis, COVID-19 prediction, and childhood mental health. You will have (or be close to completing) a PhD in a quantitative discipline such as computer science, mathematics, statistics
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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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difficulties in the research projects. It is essential that you hold a PhD/DPhil in a quantitative discipline (eg Operations Research, Management Science, Statistics, Machine Learning, Applied Mathematics
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to completion of) a PhD/DPhil in geotechnical engineering, along with experience in numerical methods, including the implementation of soil constitutive models in finite element code. You should have excellent
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learning systems. Reporting to the principal investigator, Professor Christopher Summerfield, the post holder will be a member of the Human Information Processing Lab. They will be responsible for carrying
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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics, Chemistry, or Engineering
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related dementias later in life. You will hold a relevant PhD/DPhil (or be close to completion) in the field of mechanical or biomedical engineering, applied mathematics, or another field relevant
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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up