425 data-"https:"-"https:"-"https:"-"https:"-"Inserm" positions at University of Oxford
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to detail, particularly in record-keeping, financial tracking and documentation, alongside strong interpersonal skills to build effective relationships with a wide range of stakeholders. Further information
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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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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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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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-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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invited to interview, we will share further information about the policy at that stage. APPLY NOW
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opportunities for University staff. Please see the below 'Job Description' for further details on the role, responsibilities, and selection criteria, as well as further information about the university and how
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along with the ability to configure and program specialised hardware as necessary. • The candidate will work with senior research staff to document optimum process flows for data analysis and create
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equivalent experience, with strong analytical skills and the ability to interpret complex information. You will have experience managing workloads, maintaining accuracy, and delivering high levels of service