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the group. The planned investigations are primarily experimental in nature, but will proceed in close conjunction with insight from theory and simulations. The ideal candidate will hold a PhD in physics
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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
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statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
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interpretation of all data, maintaining records and databases, drafting technical/progress reports and research papers as appropriate. 3. Develop and enhance your research profile and reputation and that
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hold a PhD/DPhil or be near completion of a PhD/DPhil in a relevant biological discipline. Good communication and documentation skills, and the ability to work effectively as part of a team are essential
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the application of health economics methods to patient-level data as well as acting as a source of information and advice to other members of the group on health economic methodologies or procedures. About You You
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-ordinate multiple aspects of work to meet deadlines. Responsibilities will include the application of health economics methods to patient-level data as well as acting as a source of information and advice
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children and young people to achieve goals that are most meaningful to them. About You You will have or be close to the completion of PhD/DPhil/DClin or other professional doctorate degree, together
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Postdoctoral Researcher: Oxford Centre for Emerging Minds Research ‘All About Me’ (Adolescent Focus)
neurodivergent children and young people to achieve goals that are most meaningful to them. About You You will have or be close to the completion of PhD/DPhil/DClin or other professional doctorate degree, together
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely