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will need good communication skills, and will be able to work with and disseminate information to both academic and non-academic audiences. You will have a PhD in medical or bio-informatics, epidemiology
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improvement and implementation sciences, evaluation, patient and public involvement (PPI), and economics, and a core team of managers and communication professionals. The KIS programme is supported by KHP
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a role model and fostering an inclusive working culture. Person Specification PhD, or close to completion, in a relevant, quantitative field, e.g. meteorology, machine learning, climate science
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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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launched Oxford Programme for Cyber and Technology Policy (OxCTP). Reporting to the Co-Directors of OxCTP, you will manage your own academic research activities and collaborate in the preparation of research
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
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launched Oxford Programme for Cyber and Technology Policy (OxCTP). Reporting to the Co-Directors of OxCTP, you will manage your own academic research activities and collaborate in the preparation of research
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years of completing their PhD, although career breaks for parental leave and/or health reasons will be considered. This is because the roles are aimed at early career academics who would benefit from a
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candidate will work on an interdisciplinary Human Frontier Science Programme grant to unravel the functional ecology of heterotrophic protists, combining behavioural assays, ultrastructural and morphological