163 phd-in-concrete-and-structural-engineering Postdoctoral positions at University of Oxford
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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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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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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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use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use
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outcomes-based finance such as impact bonds, carbon–biodiversity credits, blended finance structures, and the design of decision-support tools for conservation investment. You will collaborate with
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. This project will require a strong molecular biology background, knowledge in AI-based protein structural prediction, in vitro expression systems and cryo-EM, experience in analyzing large datasets, and solid
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reverse genetics for functional analysis of EV candidates. This project will require a strong molecular biology background, knowledge in AI-based protein structural prediction, in vitro expression systems
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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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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to deliver clinical studies using Xenon MRI to assess the potential of the technology in diagnostic and therapeutic response studies. To apply, we would expect that you will hold a PhD in MRI, with experience