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) Geographical information system (GIS) Geogame and digital twin with Unity or Omniverse Global positioning system (GPS), GNSS and IMU Image processing and computer vision Asphalt binder modification, asphalt
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justice; and experience in incorporating technology into pedagogical approaches, including designing and implementing hybrid format courses. Social justice dimensions are a key component of our program
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. for students in the new Bioengineering PhD program), including the design of custom microscopy setups for specific imaging applications. This position will be appointed at the rank of Professional Specialist
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of their harvest while using organic and regenerative practices. The Specialist will be part of the University of California, Santa Cruz Department of Electrical and Computer Engineering. The position will be based
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 2 days ago
responsible AI. You will be a part of creating a Reviewer Checklist and a prototype AI assistant that demonstrate how analytical rigor and technology can advance FDA’s public health mission. This experience
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Engineering & Imaging Sciences (BMEIS) and the Royal Brompton Hospital’s Imaging Department in Chelsea. The School of BMEIS (https://www.kcl.ac.uk/bmeis ) is committed to improving the way we deliver healthcare
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digital innovation. Minimum Qualifications: Education and Experience: Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field; Master’s degree strongly preferred. 12
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the MediTwin project, which aims at advancing patient-specific digital twins for medical applications by combining physics-based modeling, data assimilation,and efficient computational pipelines (https://www
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6 Mar 2026 Job Information Organisation/Company Ghent University Research Field Engineering » Control engineering Engineering » Electrical engineering Engineering » Materials engineering Engineering
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Area: Computer Vision Group: Pattern and Image Analysis Work Objectives: In terms of deep learning architectures for object detection, particular attention will be given to the analysis of performance