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Field
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testing of model-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs
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valuable insights to help optimize device performance. Additionally, you will support collaborators by assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy
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productivity (publications, presentations, software, system prototypes) Strong analytical and computational skills (e.g., Python, R; simulation or optimization tools) Experience working with real-world datasets
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academic worlds in the heart of Gothenburg. At the Division of Applied Mathematics and Statistics , we conduct research in computational mathematics, optimisation, biomathematics, statistics, and data
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and optimize sulfur cathode materials and related host structures Perform physical, chemical, and structural characterization of battery material Fabricate and evaluate lithium–sulfur cells in coin-cell
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Institute of Data Science, and Smart Grid Center, etc. Perform other duties as assigned. What we need: PHD Degree What is helpful: Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a
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Researcher (R2) Application Deadline 31 Jul 2026 - 21:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe
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applications for a Postdoctoral Research Associate in Transportation Systems Modeling, Computing, and Cloud-Based Mobility Analytics Platforms as part of the CTECH Postdoctoral Fellows Program. This position
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Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Position Details Position Information Internal Posting? Posting Number SP004690P Position Title Postdoctoral Research Associates, Statistical and Computational Modeling Division/College University