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Endourology and Stone Disease Fellowship - 39541 Faculty Description University of Colorado Anschutz Department: Surgery Job Title: Endourology and Stone Disease Fellowship Position #:00846525
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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disease prognosis. This position offers a unique opportunity to work at the forefront of optical imaging technology, combining experimental optics with advanced computational and data-driven methods. Roles
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) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 10 days ago
responsible AI. You will be a part of creating a Reviewer Checklist and a prototype AI assistant that demonstrate how analytical rigor and technology can advance FDA’s public health mission. This experience
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, Geoscience, Soil Science, Physics, or related fields). Preferred skills: Commitment to contributing to outreach activities and research dissemination. Experience in computer programming (R+, Matlab, Python
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and imaging technologies. Current research themes include cell signalling and decision making, tissue architecture, homeostasis and regeneration, cell-matrix biology, RNA biology and the physics
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) milling. This programme will involve state-of-the-art imaging approaches to visualise molecular details of the intricate relationships between chromatin and nuclear condensates. The successful candidate
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Science and the Cognition and Perception Program of the Department of Psychology at New York University have a one-year postdoc position available, supported by our Visual Neuroscience Training Program. It
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Primary Lymphoedema utilising a range of computational and statistical approaches. We are seeking a candidate with a background in computational biology and experience in the analysis of genetic data