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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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reputation Plan, design and co-ordinate research activities and programmes Contribute to the development of research strategies Publish results of own research Supervise PhD students Contribute
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diverse and interdisciplinary team from recent PhD graduates in human geography or cognate fields. Applicants must have experience of undertaking fieldwork with garment worker communities and must have
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transition is possible, again subject to review. The ideal candidate: The successful candidate will have a PhD or equivalent in a relevant subject to the role. They will also have substantial postdoctoral
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable
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. Candidates will: Hold a PhD (or equivalent) in an appropriate discipline. Have the potential for leadership qualities in the subject, as illustrated, for example, through showing initiative on research
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. Candidates will: Hold, or be near completion of, a PhD (or equivalent) in an appropriate discipline. Have the potential for leadership qualities in the subject, as illustrated, for example, through showing
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PhD (or equivalent) in an appropriate discipline. Have the potential for leadership qualities in the subject, as illustrated, for example, through showing initiative on research projects. Have an
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, or be near completion of, a PhD (or equivalent) in an appropriate discipline. Have the potential for leadership qualities in the subject, as illustrated, for example, through showing initiative