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for recruitment of researchers: https://euraxess.ec.europa.eu/jobs/charter/code Unsolicited marketing is not appreciated. Information For information you can contact: prof. dr. ir. Francesco Maresca, f.maresca
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with
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Tempels and prof. Martha Bakker. Your qualities You are someone who: Is excited about contributing to smart approaches to manage public space Seeks intellectual challenges and opportunities for growth Can
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networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In this project
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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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colleague ourselves. Acquisition in response to this vacancy will not be appreciated. Would you like more information? Prof. C.P. Slomp (Caroline) Professor - Microbiology caroline.slomp2@ru.nl Last modified
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to be used. The final project description will be developed in cooperation with the supervisor. Want to know more about the position? For further information about the position, please contact Dr Carly
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values change over time and subject to which factors phylogenetic analyses of evolutionary trajectories across cultures Main supervisor will be Prof. Dr. Andrea Bender (UiB); co-supervision will be
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Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined