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1 Sep 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Materials engineering Researcher Profile Recognised Researcher (R2) Application Deadline 30 Sep 2026 - 23:59
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine
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. The precise balance of activities will be determined by the candidate's expertise and the needs of the research program. Required Qualifications Doctoral degree in Control Engineering, Electrical Engineering
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Finnish partners. Who we are looking for The following requirements are mandatory: A doctoral degree in Electrical Engineering, Computer Science, Communication Networks, or a related field, or an equivalent
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Can technology learn to listen to how athletes feel, and not just to what the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that
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security advantages? Join us to work on QKD for quantum safe communications in future networks. Information The security of modern communications is threatened by advances in quantum computing which have the
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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental
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at TU Delft (Faculty of Civil Engineering and Geosciences) and work closely with Prof. Susan Steele-Dunne, her team at TU Delft (m-wave.tudelft.nl) and collaborators in the CROPWAVES project. Job
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning
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-generation communication infrastructures. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start date