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.uahs.arizona.edu/about-cb2 Location University of Arizona Health Sciences Address Tucson, AZ USA Position Highlights The Center for Biomedical Informatics & Biostatistics (CB2) seeks a postdoctoral scholar to
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cognition in children and young people as part of a Wellcome-funded project. The post-holder will work with Dr Sukhvir Wright and colleagues at the Institute of Health and Neurodevelopment (IHN) in the MRC
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of life processes in the context of health and disease. As a postdoctoral researcher in the AMBER programme, you will benefit from exceptional medical, biological, and methodological capabilities, with
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke
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corresponding imaging data. Our partnership with the UCLH Biomedical Research Centre and NIHR Hearing Health Informatics Collaborative provides a strong foundation for translational research. We value technical
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educational programmes span disciplines such as Psychology, Business Administration, Public Administration, Communication Sciences, Philosophy, Educational Sciences, and Health Sciences. Through our bachelor’s
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. Leads the publishing of results. Supports and supervise trainees. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications
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Area of research: Scientific / postdoctoral posts Job description: Postdoc positions in Computational Health (f/m/x) 102675 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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international collaborations Your profile at our group: analysis of high-throughput proteomic, (single cell) transcriptomic, digital spatial and other omics data in health and disease states multi omics data