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2D/3D/4D image parsing, segmentation, and building robust computer-aided detection systems Proficiency with modern deep learning frameworks (PyTorch, TensorFlow) and related tooling Demonstrated
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Posting Details Posting Details Job Title Computer Vision Engineer Requisition Number RE55437 Working Title Department Name 8H040:Computer Science Work Location Lexington, KY Grade Level 48 Salary
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://sede.urjc.es/tablon-oficial IN SPANISH Where to apply Website https://sede.urjc.es/web/guest/convocatorias Requirements Research Field Engineering » Computer engineering Education Level Bachelor Degree or
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Foundation. Profile A Master’s degree in civil engineering, geomatics, computer science, or a related field A strong background in machine learning, computer vision, or 3D point cloud processing, as
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for a researcher post in Face Lab, relating to craniofacial identification research and 3D digital avatars. You will require a 3D animation, CGI, computer science and/or anatomical modelling
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Position overview Position title: Junior Specialist in Computer Vision Salary range: Annual Starting Salary: Please see Table 24B for the salary range for the position. A reasonable estimate for this
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Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. TLDR: Build AI methods for 3D particle detection and structural
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Website https://academicpositions.com/ad/chalmers-university-of-technology/2026/project… Requirements Research Field Architecture Years of Research Experience None Research Field Computer science Years of
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Grafing bei München, Bayern | Germany | 2 months ago
. Our major research fields are AI-based organ mapping, tissue engineering and precision medicine in cancer treatments. Sophisticated technologies such as 3D tissue imaging or molecular profiling are
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the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical