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microscopy techniques (e.g., spinning-disk confocal microscopy, light-sheet microscopy) analysis of large imaging datasets using advanced image processing and segmentation methods computational and statistical
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education training program. Job Summary The Department of Radiology at the University of Chicago is seeking a full-time research-focused Gynecological/Obstetric Imaging Data Analyst. This role is dedicated
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partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 23 days ago
funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Degree in Biomedical Engineering or
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18 Mar 2026 Job Information Organisation/Company Institut Jacques Monod, CNRS UMR 7592 Department Human Neurodevelopment & disorders Research Field Biological sciences » Biology Neurosciences
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imaging science and clinical care, the Department of Radiology comprises nearly 200 dedicated clinical and research faculty and performs nearly two million procedures annually. The Department also boasts a
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 18-Mar-26 Location: MI Type: Full-time Categories: Academic/Faculty Biological/Biomedical Sciences Internal Number
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, if applicable. Enrolment in Master's degree in Informatics or Informatics Engineering or Data Science. Work plan: The objective is to develop a prototype system for the registration of medical images, namely
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, including periapical, bitewing, panoramic, occlusal, and lateral images, and cone beam computed tomography scans. Aid dental students, residents and/or faculty in four-handed dentistry and in routine chair
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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