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combustion engine (e.g. cylinder pressure) or the driven electric generator (e.g. electromagnetic torque) — removing the need for an expensive, dedicated torque transducer. Two complementary approaches will be
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and voltage collapse, converter-driven instability, interoperability under different control strategies, transition from GFM to GFL and vice versa, black start capability. Work out how such models
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? Which challenge-driven approaches to knowledge valorisation work, for whom, and under what ecosystem conditions? How can evidence from European innovation initiatives be translated into transferable
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modelling of electrochemical systems, together with experience in machine learning and data-driven modelling. Research Associate: Hold a PhD in Aerospace Engineering, Chemistry, or a related discipline, or
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of Laboratoire 3SR. He/she will work in close interaction with permanent staff, PhD students, and engineers of the laboratory, as well as with experimental and modelling partners involved in the project. Where
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About the Opportunity Job Summary The Postdoctoral Associate will conduct integrated experimental and computational research on informatics-driven mechanical characterization of solid and porous
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such as quantum and analog computational models. You will explore how compilers, runtimes, and AI-driven agents can co-optimize complex architectures, reasoning across conventional processors (CPUs/GPUs
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to the current active research environment. We welcome applications from candidates with experience and expertise in marine propulsion systems, combustion engines, fuel storage and handling systems, modelling, and
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multiscale musculoskeletal modeling, who is motivated to build an independent research line that extends the work of Healthy Joints. Required qualifications A PhD in Biomechanical Engineering, Biomedical
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at least one additional programming, modeling, or data-analysis environment such as C++, MATLAB or Simulink. Experience developing computational models or data-driven methods and evaluating them using