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analyse large cohort quantitative data from a variety of sources, reviewing and refining theories as appropriate. You will have or be close to the completion of a PhD in a relevant health or medical
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of) a PhD in epidemiology, nutritional epidemiology, molecular epidemiology, medical statistics or other relevant subject. You will also have an excellent understanding of statistical analysis
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and reporting of the results in technical reports for sponsors, internal seminars, and at international symposia. You should possess a PhD/Dphil (or be near completion) in a relevant field and have
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the transition to global environmental sustainability. Reporting toLead, Machine Learning, Oxford Sustainable Finance Group To be a successful candidate will need to hold a relevant PhD/DPhil in information
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completion of, a PhD/DPhil together with relevant experience at the intersection of control engineering, mathematical biology and Engineering/Synthetic Biology, and strong computational skills. You should have
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have submitted their final PhD thesis at the point of interview and are awaiting final examination are eligible to apply for this role. How to apply The University of Oxford is committed to equality and
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partnering academic or industrial institutions and present research findings in discussions with collaborators. To be successful in this role, you will hold a PhD/DPhil (or close to completion) in Cell Biology
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the project. You will also be responsible for collaborating with other team members to maximise the learning across the programme. It is essential that you hold a relevant PhD/DPhil (or close to completion
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possess a PhD (or be near completion) in optoelectronic technologies and/or optical instrumentation and related systems together with demonstrable experience of applied optics and imaging. You should have
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manuscripts for submission to peer reviewed journals. You may also have opportunities to co-supervise Masters and PhD projects. The projects you will be working on are interdisciplinary and so the ability