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Computing Operations 30%): Under the guidance of the CAVS Manager, Manages Classroom Technology Specialists in the provisioning, software installation, and machine imaging across approximately 275
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Engineering programme, to support healthcare development in Macao and the Greater Bay Area, particularly in advancing “BIG Health” and Translational Precision Medicine. We seek exceptional candidates
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Utilise your academic expertise in the broader area of Built Environment Engineering (incl. Digital Construction and Architectural Technology & Design Management) Contribute to paradigm shift in
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(PEX), under the following conditions Scientific Area: Materials Engineering, Mechanical Engineering, or related fields. Recipient category: Students enrolled in a PhD programme or Masters students
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assessment of seed yield and quality traits using imaging, machine learning, and edge computing technologies. The position will assist with the development, testing, and deployment of AI models for analyzing
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19 Sep 2026 Job Information Organisation/Company Radboud University Research Field Computer science » Modelling tools Computer science » Programming Engineering » Computer engineering Engineering
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
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 combined with AI tools
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and imaging services using the latest technology Radiology Services at UWMC-Montlake is the premier choice for imaging in the Pacific Northwest. Our combination of expertise, service and commitment
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, the candidate will work in the Andrea Hevener Lab and conduct basic science research, including studies on genetically engineered mouse models and cell lines. Candidates must have experience visualizing and
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of biomedical informatics that impact one or more clinical focus areas. For methods of AI, we are interested in candidates who bring expertise in building methods that learn across one or more of imaging