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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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out research in cosmic microwave background physics or one or more of the following fields: cosmology, galaxy formation, numerical astrophysics, survey science tied to the up and coming large scale
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the most pressing areas of fundamental understanding which are currently lacking and need to be overcome in order for the four PV device concepts to be optimized. The modelling findings on a range of
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and numerical modelling, as well as the development and construction of a new mm facility, The Africa Millimetre Telescope, in Namibia. The successful applicant will be based in Oxford and work
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Telescope. You will also have the opportunity to teach. You should hold a PhD (or close to completion) in a relevant area of astrophysics or physics. Experience in performing numerical simulations in
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health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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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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. The research will involve both analytical work and numerical computations. The balance between analytical and numerical type work is flexible and can depend on the preferences and skills of the successful
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script