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Senior Postdoctoral Researcher: statistical and computational methods for complex traits in biobanks
, using genetics theory, computer simulation studies and analysis of data from large biobanks. To be considered, you must hold a relevant PhD/Dphil in a relevant field e.g., statistical genetics
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. You will conduct statistical analyses of genetically informative data sets measured for phenotypes of direct or indirect relevance to psychiatry. You will have or be close to the completion of a PhD in
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chronologically align datasets from the Atlantic Basin, and undertake statistical and time series analysis to explore the latitudinal propagation of climate signals. The post holder will have the opportunity
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Department: School of Mathematical Sciences Salary: PDRA salary £47,178 - £49,785 per annum. If appointed in Lieu of PhD salary start will be £36,572 per annum until PhD is awarded. (Grade 5
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Department: School of Mathematical Sciences Salary: £42,405 per annum (If appointed in Lieu of PhD, salary start will be Grade 4 £36,572 per annum until PhD is awarded). (Grade 5) Reference: 2406
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, you will hold a PhD/DPhil (or be close to completion) in a relevant field such as statistics, biostatistics, infectious disease epidemiology, epidemic modelling. You will have research experience in
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, you will hold a PhD/DPhil (or be close to completion) in a relevant field such as statistics, biostatistics, infectious disease epidemiology, epidemic modelling. You will have research experience in
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, and (3) undertake statistical and time series analysis to explore the latitudinal propagation of climate signals. The post holder will have the opportunity, subject to starting date and travel
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collaborations across the University, and supervise research students. The successful applicant will also have the opportunity to conduct a small amount of teaching at the Department of Statistics in their areas
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for presenting your work at international conferences and workshops. The successful candidate should hold, or be close to completion of, a PhD/DPhil in a quantitative discipline, for example statistics