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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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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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-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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, 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
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thermodynamics. You should possess a relevant PhD/DPhil (or be near completion). Experimental expertise in electrical characterisation of quantum devices at cryogenic temperatures is essential. As is excellent
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new phase microscopy hardware to provide real-time feedback on the polymer network during laser processing. About you You should possess (or be near to completion) of a PhD in optical engineering or a