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simulation plays an essential role for the aerospace industry, enabling cost-effective design and optimization of GT systems. However, several challenges remain, particularly in achieving both accurate and
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; procedural content generation; simulation technologies for robotics and automation; plant modelling; computer vision for robotics. modelling techniques for digital twins Applicants should have or expect
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that bridge quantitative modeling and qualitative approaches. Postdoctoral researcher in peri-urban energy planning and sufficiency Your tasks Develop and apply optimization and simulation models to assess
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multi-physic modelling approach coupling mechanical and electrochemical simulations, it is proposed to bring a novel unified numerical framework in this thesis (i) to simulate the damage in
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activities, including AI model development, simulation-based studies, and multi-disciplinary collaboration across radiology, engineering, and other clinical disciplines. The Assistant Professor may be required
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(FR) & University Padova (IT); keywords: AI, data integration, large language models Website for additional job details https://www.eu4greenfielddata.eu/ Work Location(s) Number of offers
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machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Familiarity with multi-domain simulation tools (e.g., Matlab, Simulink, Octave) and modeling techniques Experience with AI, ML methods of time
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should have experience with mathematical modelling using ODEs and/or DDEs, parameter estimation methods and HPC simulations. The applicant should be familiar with dynamical systems theory, network analysis
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Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job This position will be in charge of developing mathematical models to simulate neutrino interactions in the Liquid Argon Time
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exoskeletons that regulate muscle–tendon forces during locomotion. This includes: Developing and calibrating real-time musculoskeletal ankle models (using CEINMS-RT), with emphasis on the Achilles tendon