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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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information and advice on best-practice methodologies in machine learning/deep learning. It is essential that you hold a PhD/DPhil (or close to completion) in a relevant quantitative field (e.g. biostatistics
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group : here About you Applicants must hold a PhD Inorganic Materials Chemistry or a related area (or be close to completion), prior to taking up the appointment. The research requires experience in
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take on College officerships, where appropriate. Candidates will have recently completed, or be close to completing, a PhD in a relevant subject. They will have publications in peer-reviewed journals
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-responsive molecular machines. The project is funded by the European Research Council. Find out more about the Langton research group at: here About you Applicants must hold a PhD in Chemistry or a related
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at the Old Road Campus Research Building (ORCRB), Oxford, OX3 7DQ and it is offered on a full-time, fixed-term basis for three years. About you You will hold a PhD (or near completion) in a relevant discipline
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NHS Foundation Trust. About You You will have or be close to completing a PhD in clinical or cognitive neuroscience or a relevant subject along with experience of independent planning and management
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briefs, presentations, and policy outputs Liaising with research partners (e.g., BRAC, GiveDirectly, J-PAL) This post is ideal for candidates considering a PhD or a policy career in development economics
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, and market and protocol design. The postholder should hold a relevant PhD/DPhil or be near completion in one of the following: Economics, Finance, Operations Research, Statistics, Econometrics
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PhD in Inorganic or Materials Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in synthetic inorganic/materials