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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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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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Geochemistry Group in the Faculty of Science and Engineering, providing excellent opportunities for collaboration, networking and professional development. The School of Geography Earth and Environmental
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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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. 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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, 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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in Theoretical Physics (FRHTP). QNM-I is an interdisciplinary QIS research center, with participating faculty from physics & astronomy, chemistry, electrical & computer engineering, computer
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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute
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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