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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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, PhD students, and/or project volunteers. It is essential that you have a PhD in Psychology (awarded or submitted/near completion) and have excellent statistical and data management skills, including
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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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will develop new ways to interrogate a recently generated transcriptomic dataset and to model the cell neighbourhoods. You will hold (or soon to be awarded) a PhD in Quantitative Biology. A proficient
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for all aspects of statistical input into IHTM research projects, including study design, data handling, statistical analysis, interpretation of result. It is essential that you hold a relevant PhD/DPhil 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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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
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primary analysis to apply bioinformatics solutions to biomedical problems. You will be responsible for carrying out data processing and integration, statistical analysis, presentation and interpretation
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post, you will hold a PhD or be close to completion, in epidemiology, medical statistics or a closely related field. You will also have experience in handling large and complex longitudinal datasets with