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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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examining the intersection of environmental challenges and the just transition. This role is ideal for candidates planning to apply to top PhD programmes and looking for hands-on research experience on high
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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specimens. Qualifications & Requirements Pursuing PhD degree in mechanical engineering, familiarity with metal 3D printing. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful
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networking with colleagues and students; planning and organising research resources and workshops. Successful applicants will have or be near to completing a PhD in computer science, information engineering
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profile A completed PhD in psychology, educational measurement, statistics, or a related field Solid knowledge of psychometrics and experience with statistical software (e.g., R) Strong interest in
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, with more than 55% from outside the UK. The School’s faculty members also come from all over the world, with PhDs from Harvard, MIT, Stanford, Columbia, UCLA, North-Western, Cornell, Duke, Cambridge, and
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, the disease has reached an advanced stage. This fellowship, during which the successful candidate will undertake a PhD, will help establish whether we can improve how pancreatic cancer is diagnosed in primary
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Doctoral Researcher (PhD position) in Epidemiological Neurophysiology using Transcranial Magnetic Stimulation Part-time 65% limited for 3 years Klinik & Poliklinik für Neurologie Our goals
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suited to candidates with strong quantitative and analytical skills and a PhD (or near completion) in cancer epidemiology or a related field. Applicants should have experience in applying or developing