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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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with many departments and schools in the University (Division of Psychiatry and Behavior Sciences in the Department of Medicine; School of Pharmacology; Neurobiology and others), the NAPE lab is
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University of California, San Francisco | San Francisco, California | United States | about 12 hours ago
, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Required Qualifications Graduate of a formal radiology technology training program from an AMA approved school
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23 Feb 2026 Job Information Organisation/Company Universitat de Girona Department Servei de Recursos Humans Research Field Computer science Engineering Technology Researcher Profile Recognised
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data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer/data science and the life sciences. Applicants must hold a Ph.D. in Engineering, Computer Science
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) within the scope of the project “HUMYK - Autonomous Community Composter", with operation code CENTRO2030-FEDER-01180100 (Nº 17322), co-financed by Centro 2030 Regional Program, Portugal 2030 and the
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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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about a job posting, please contact Human Resources at askrecruitment@uams.edu . Department: CHP | Radiologic Imaging Sciences Department's Website: http://healthprofessions.uams.edu/programs
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the Department of Radiology will provide dedicated emergency radiology services at the University of Kansas Medical Center. This role includes delivering evidence-based, patient-centered diagnostic imaging
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Systems Engineering and Computer Engineering). Cross-cutting degrees are offered in data science, cybersecurity & global policy, and business intelligence & data science. The Indiana University School