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focus on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor Chris Holmes, and with
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opportunities at departmental and University level. The work will be exclusively in-silico analysis of human rhythmic behaviour, including sleep and chronotype, and cardiometabolic disease. We will use publicly
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, including the generation and analysis of complex datasets is desirable. Excellent communication skills, including the ability to write for publication and represent the research group at meetings
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planning and conducting speech experiments and data collection, and highly skilled in linguistic, acoustic and quantitative data analysis. With a strong research record, they will have the ability to manage
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. The project will also involve close collaboration with researchers from other disciplines within the Oxford Martin Circular Battery Economies Programme, who are working on second-life battery analysis, re
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and evaluation. The post holder will take a leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis
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have prior experience in bioinformatic analysis as described in the job description. The post holder provides guidance to junior members of the research group including research assistants, PhD students
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detailed T-cell phenotyping and functional assays • Conduct mechanistic studies using molecular and cellular immunology techniques • Contribute to data analysis, presentation, and publication
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of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), Oxford As a Postdoctoral Research Assistant in Translational Biology you will be performing laboratory experiments and data analysis to support
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validate new technologies for the diagnosis, prevention, and management of sport injuries, with emphasis on safety rather than performance. You will be responsible for the design, execution and analysis