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candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Have or be about to obtain (evidence of submission or awaiting viva exam) a PhD in
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, collaborations, and outreach. About the person: Candidates should demonstrate the following: Have a PhD in Materials Characterisation. Established expertise and proven portfolio in materials characterisation
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to make their mark as an applied health methodologist. Criteria: A good degree and a PhD in relevant health related discipline (e.g. psychology, social sciences) A growing reputation nationally for research
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responsible for the successful design and implementation of the research to the highest academic standards, and to lead on writing up data for publication, and there will be the opportunity to apply for a PhD
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Aberdeen. The successful candidate should have post-graduate qualifications to PhD level (or very near to completion) within the fields of economics, agricultural economics and experience working on food
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scientific articles for publication in leading peer-reviewed journals. Candidates must hold, or be about to obtain, a PhD in engineering, applied mathematics or a related subject area, with a major component
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. They will have the opportunity to guide and mentor more junior members of the group. Candidates are expected to have a good background in dependent type theory and category theory. They should hold a PhD or
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CBSS: martyn.pickersgill@ed.ac.uk . Your skills and attributes for success: PhD (completed, or to be completed before post start date) with a substantive focus on science and technology studies / medical
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based in the School of Chemistry, University of Nottingham in the group of Dr Katherine Inzani. Candidates should hold a PhD (or close to completion) in materials science, chemistry, physics or similar
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for collaborative trials and your own statistical methods research with support from senior colleagues. What we are looking for: You will have a PhD or equivalent experience in statistics, medical statistics, or a