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statistical approaches to the study of the genetic architecture of human complex traits, with a focus on modelling statistical interactions between genetic mutations in DNA using Biobank-scale data
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to work collaboratively across disciplinary boundaries is essential. The successful candidate must hold a relevant PhD/DPhil in information engineering, computer science, statistics or a commensurate
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We have an exciting opportunity for a Postdoctoral Health Data Scientist to join the research group led by Associate Professor Sara Khalid at the Centre for Statistics in Medicine, the Botnar
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. You will hold a relevant BA or MSc degree in Mathematics, Engineering, or a related field. Knowledge of medical statistics and experience analysing large datasets, experience in biostatistics and/or
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. You will hold a relevant post-graduate degree in Epidemiology or a related field together with experience in biostatistics and/or health data sciences. Experience in programming statistical analyses
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. Experience in MS data analysis and statistics (i.e. MaxQuant, Perseus, and Prism) is desirable. Applications for this vacancy are to be made online and you will be required to upload a supporting statement and
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methodologies and contribute ideas for new research projects. To be considered, you must hold a higher degree (e.g. MSc/PhD) in epidemiology, statistics or a related subject, have significant relevant experience
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for Cancer Research, University of Oxford In this role your duties will include provide statistical analysis plans for studies and handle day-to-day planning to keep the work on track and efficient and the
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Student Data Management & Analysis (SDMA) team provides a portfolio of data, reporting and statistical services for the University of Oxford, in addition to maintaining and facilitating access to reporting
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pathways. You will also have the freedom to determine your own research approaches within this broad framework. You will have or be close to the completion of a PhD in statistical/computational genomics with