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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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Department: School of Electronic Engineering & Computer Science Salary: £40,223 - £42,405 per annum (Grade 4) Reference: 2476 Location: Mile End Date posted: 9 June 2024 Closing date: 7 July 2024
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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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qualification (or near completion) in social science, humanities, Human-Computer Interaction or design that utilises qualitative and/or design-led methods Experience of qualitative studies involving children
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Fixed Term Contract – ASAP until 31st December 2025. Full Time - 35 hours per week. We are looking for exceptionally talented and motivated computational scientist to take up a fully funded
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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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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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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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Job id: 091846. Salary: £43,205 - £49,263 per annum, including London Weighting Allowance. Posted: 26 June 2024. Closing date: 23 July 2024. Business unit: Faculty of Life Sciences & Medicine
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to promoting women in Science, Keywords Computational solid mechanics, Finite element analysis, Numerical analysis, Fracture mechanics, Phase field methods