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Field
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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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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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record, and leadership. A PhD in a health-related discipline is essential; a PhD in Psychology would be an advantage, and understanding of qualitative approaches will be useful. You will have excellent
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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
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, candidates should have completed, or be close to completing, a PhD/DPhil in a relevant field. Candidates must be within three years of the defence date of their doctorate at the time of application. Allowances
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for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and