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the decision analytic modelling field research field and contribute to high quality reports for funding bodies and peer-reviewed outputs. You will hold a DPhil/PhD in health economics or a related quantitative
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more broadly in the NDPCHS’s portfolio of health economics research and teaching activities. You should have (or be close to completing) a DPhil/PhD in health economics or one of its cognate disciplines
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considered of Assistant or Associate Professor rank. Therefore, the School welcomes applications from early career candidates (i.e., scholars who have recently completed or will very soon complete their PhD
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to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students. In this post you will manage your own academic research and
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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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team, including a PhD (DPhil) student and an external collaborator, Prof Franck van Breugel (York University, Toronto). It is essential that successful candidate would hold a relevant PhD/DPhil or being
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students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will
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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