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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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Qualifications PhD in public health or related field obtained within the last five years. Proven ability to thrive in a collaborative, mixed-methods research environment. Strong personal motivation, self
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research teams to drive impactful studies Mentor trainees in different aspects of clinical research Minimum Qualifications PhD in public health or related field obtained within the last five years. Proven
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to publications involving several authors); originality and innovative potential of your proposed research (significance for the further development of the subject area, convincing selection of scientific methods
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work. The museum provides excellent research facilities in-house, with outstanding in-house expertise in DNA-based and molecular biology methods, microscopy and visualization, and analytical methods
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permanent academic roles, should they arise, at Durham or elsewhere. The successful applicant will normally expected to be within 8 years of completing their PhD, although career breaks for parental leave and
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or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and
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specifications e.g. for creating a list of publications, will be rejected for formal reasons without further review. You are therefore requested to check your documents especially carefully to ensure
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proposed research (significance for the further development of the subject area, convincing selection of scientific methods, potential for scientific development, clear focus and feasibility within