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About the role The Department of Biology, Oxford (UK) is seeking to recruit a Postdoctoral Research Associate (PDRA) on a two-year contract funded by a grant to Prof. Filatov from the BBSRC
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Senior Postdoctoral Researcher: statistical and computational methods for complex traits in biobanks
, quantitative genetics, bioinformatics, computer science, statistics, econometrics or other relevant areas, have evidence of post-qualification research experience, an established (inter)national reputation and
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the job description. You will have a PhD/DPhil in statistics, statistical genomics, machine learning, computer science, epidemiology, bioinformatics or related field, along with extensive relevant research
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genomics/transcriptomics, computational biology and machine learning. The overarching aim of the project is to develop strategies to treat patients with rare genetic disorders at scale. Duties will include
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statistical/computational genomics, machine learning, computer science, bioinformatics, epidemiology, or related field with relevant experience. You will have excellent communication skills, including
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to promoting women in Science, Keywords Computational solid mechanics, Finite element analysis, Numerical analysis, Fracture mechanics, Phase field methods
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responsible for managing their own academic research. You will establish and optimise protocols, design and accurately execute experiments and contribute conceptually to the overall research programme. The post
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About the role The Department of Biology is seeking to recruit a Postdoctoral Research Associate. This is a 20% FTE post, funded by BBSRC, working under the direction of Geraldine Wright
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Applicants are invited for a Postdoctoral Computational Biologist in the lab of Professor Marella de Bruijn . The De Bruijn laboratory is interested in understanding how blood stem and progenitor
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, statistics or relevant subject area such as molecular biology. You should have strong computational skills and have past experience working with RNA and small compound data sets. Critical thinking, good