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that is currently funding you and so the agreement of your line manager (principal investigator) would be required. Equally this post could be attractive to you if you are in the final stages of your PhD
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will have a PhD or equivalent doctorate in your field and experience of teaching in a higher education setting. Contract type: Open ended Work pattern: 1fte Grade: J Salary: £42,882 - £48,149 per annum
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. Candidates must have a PhD in a quantitative subject, ideally in (geno)economics, statistical genetics, or a related discipline or be working towards one. They must have a keen interest in working across
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local climate patterns of change. The resulting probabilistic information can guide risk assessment of a range of climate scenarios. You will have a PhD or are close to finishing a PhD in a relevant
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classical fluid systems and the burgeoning field of active and driven matter and develop data-driven theoretical models for temporally correlated transport processes. The project is well-suited to current PhD
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research in your chosen field. collaborate with the Director of the Research Institute for Sociotechnical Cyber Security (RISCS) on complementary research. You have completed or nearly completed a PhD in
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initiatives. A PhD in Sociology (or related). Experience of providing teaching in Sociology, to both small and large groups across undergraduate and postgraduate units. Proven ability to teach in the following
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opportunity to collaborate with experiments. This position would suit a researcher who has recently completed a PhD in Chemistry, Biochemistry or close to completion or related field and expertise in
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at events and participating in committees and groups, teaching as appropriate. · You hold a medical degree, and a PhD, and an NTN or CCT · You want to grow to become an independent researcher in global health
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and develop data-driven theoretical models for temporally correlated transport processes. The project is well-suited to current PhD students or postdoctoral scholars who are comfortable crossing