84 finite-element-analysis Postdoctoral research jobs at University of Oxford in United Kingdom
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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
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-modality ultrasound analysis. The appointee will be part of the Noble research group at the Institute of Biomedical Engineering, based at the Old Road Campus in Headington. The post is funded by UKRI and is
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primarily on structural analysis of protein complexes and will best suit a candidate with a PhD and relevant experience in protein biochemistry and structural biology, specifically cryo-EM/ET. The second post
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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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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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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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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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establish routine cell surface proteome analysis using subcellular fractionation techniques, such as density gradient centrifugation and surface biotinylation followed by enrichment, to explore the surface
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correlating findings with analysis of patient material. You will take a lead role in conducting wet lab experimentation, applying state-of-the-art single-cell multiomic approaches, including transcriptomic