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received after the review date will only be considered if the position has not yet been filled. Position description Assistant Researcher – Division of Experimental Medicine, ZSFG The Rutishauser Lab in
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Posting Summary Logo Posting Number RTF00284PO25 USC Market Title Assistant Scientist Link to USC Market Title https://uscjobs.sc.edu/titles/156373 Business Title (Internal Title) Assistant
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internationally-recognised for research in MR methodology for hyperpolarised gas and proton MRI of the lungs (https://www.sheffield.ac.uk/polaris ) and the Division of Clinical Medicine has an internationally
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/ambient light handling. Image Preprocessing, Segmentation, and Feature Engineering Improve automated tongue segmentation and regionalisation (e.g., tip, sides, center, root) using models like U-Net/DeepLab
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the Division of Neurology of the Department of Medicine, School of Clinical Medicine (Ref.: 533559) We now invite applications for the captioned post. Duties and Responsibilities Work with the Stroke Research
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processing and analysis routines in Python, MATLAB, or C++. Experience with state-of-the-art artifact correction, registration, segmentation, and (shape) analysis of microscopy images—as well as integrating
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Scheduled Hours 40 Position Summary The Baldridge lab is seeking talented and motivated individuals to join our growing team in the Division of Genetics and Genomic Medicine of the Department
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+, which include 3D printers, imaging workstations and VR/AR equipment. The 3D Engineer will perform post-processing, segmentation and design for 3D printing on high-end and desktop 3D printers. They will
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
the areas of basic, translational, mechanistic and population research. Position Summary The Division of Radiologic Science is recruiting for a fixed-term, faculty appointment at the rank of Clinical
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. Perform fluorescent image processing, quality control, and cell segmentation using multiple approaches: identify appropriate single cell segmentation approaches for each tissue type and apply them