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the Fellowships are designed to support those who are at an early stage in their academic careers and will normally be awarded to candidates who have recently completed a PhD degree (or equivalent qualification
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of the findings and ensure they can inform policy and practice. You will have a PhD or equivalent professional qualification in statistics or epidemiology, and experience or an interest in medical
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proposals. Have a PhD in biostatistics or related subject with a numerate or computational component (including machine learning, data science, mathematics or a computational science), or a postgraduate
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research publications and deliver scientific presentations at national and international conferences. About you Candidates should have a higher research degree (PhD) in a relevant subject such as cell
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background in research in cardiopulmonary medicine or surgery and a PhD, although desirable, are not essential. We offer a generous reward package and benefits including: Competitive and attractive pension
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
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. About you The successful candidate will have PhD or equivalent in a relevant subject area of education. You will have proven knowledge and experience of research techniques in educational research
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. Your skills and attributes for success: A completed PhD in a relevant social science subject (e.g. sociology, anthropology or other relevant field) Knowledge and understanding of contemporary issues in
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Mamatha Nagaraj, Prof Helen Gleeson, Prof Gordon Love, and Dr Richard Mandle and at the University of Leeds. You will have an PhD degree (or have submitted your thesis before taking up the role) and
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degree (or equivalent) in a relevant field (e.g., criminology, behavioural science, public health) or a Masters degree in a relevant area. Have or be about to obtain a PhD in a relevant subject (within 6