228 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" research jobs at University of Oxford
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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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of healthy aging using cutting-edge single-cell and AI-based tools, and population cohort data. You will be an integral member of the Awadalla lab, working with some of the world’s largest single-cell data
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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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-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
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reproducibility of biological assays, nucleic acid sequencing and analysis. You will hold an undergraduate degree in biomedical sciences with a working knowledge of data analysis including statistical analysis
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at the intersection of artificial intelligence, multi-omics integration, and cellular systems modelling. Based at the Big Data Institute (BDI) at the University of Oxford, the successful candidate will join the Ideker
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine
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-learning models based on first-principles data and apply these methods across increasingly complex structures and chemical systems. The role will involve both methodological development (datasets, models
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group, including PhD and MSc and honours project students. You will also be heavily involved with data analysis and writing up manuscripts. Please see the below 'Job Description' for further details
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ability to write clean, well-documented analysis code. Ability to work with EEG data and apply multivariate methods to extract meaningful measures relevant to memory and consolidation. Skilled in developing