201 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "Univ" research jobs at University of Oxford
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to better predict incident disease from high-dimensional genetic and non-genetic data, quantification of trait heterogeneity and asymmetry from imaging data, leveraging biobank genetic and prescription data
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the group, ensuring that information is communicated, logged and up-to-date. The post-holder will be responsible for recruitment and will be actively involved in all aspects of data collection, including
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The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and
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We are seeking a Senior Researcher to join the Ideker Laboratory at the Big Data Institute (BDI) and the Nuffield Department of Population Health at the University of Oxford. The successful
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invertebrate data to extant species. Results from model efforts will be used in formal Red List Assessments, in collaboration with the Marine Invertebrate Red List Authority at the Naturmuseum Senckenberg
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electrochemical experiments (in inert atmospheres) and rheology, particularly with Li-ion battery materials, is desirable. You will gather and publish high-quality data, exhibit leadership within the group, present
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studies, data presentation, etc. Candidates also proficient in quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s
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Drosophila embryos and general Drosophila husbandry and genetics. You should have strong organisational skills and proven ability to keep accurate lab records, analyse data independently and communicate
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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-to-phenotype models for human health at the Big Data Institute (BDI), University of Oxford. The successful candidate will contribute to a strategic research programme integrating population-scale biomedical data