42 postdoctoral-image-processing-in-computer-science-"Prof" PhD positions at Chalmers University of Technology in Sweden
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international research networks. The Division of Materials and Manufacture , part of the Department of Industrial and Materials Science, focuses on the full value chain—from materials design processing and
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in the management of technology, people, and organization, and a desire to make groundbreaking contributions to the field of maintenance engineering. PhD Project overview The project focuses
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to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts
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announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology
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For questions, please contact: Prof. Nikolce Murgovski, Systems and Control nikolce.murgovski@chalmers.se, +46-31-772-4800 Senior Researcher, Mats Jonasson, Vehicle Engineering and Autonomous Systems
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Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
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: The successful candidate must have a Master's degree in electrical engineering, engineering physics, or related disciplines. Completed courses in signal processing, radar or communication theory are meritorious
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engineering, physics and mathematics. You will need strong written and verbal communication skills in English. Some level of familiarity with computer programming is rquired. Additional Merrits (documents
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changing environment will affect the stability of quick clays, and the probability of triggering catastrophic failures. We offer access to unique experimental facilities and computational tools developed by
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steer-by-wire technology. You will: Participate in the development of a new prototype vehicle Use accident statistics to derive test cases Develop strategies and algorithms for shared control Conduct