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have deep knowledge on load modelling, as well as power system stability analysis and operation. Good understanding of control theory, especially system identification is expected. Good experimental
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system stability analysis and operation. Good understanding of control theory, especially system identification is expected. Good experimental or simulation skills are expected. Industrial experience is
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language doctoral programme at the BGTS provides state-of-the-art theory classes, solid training in research methods and research design, soft skills courses, and individual supervision. The programme focuses
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, CU/DU/RU split). - AI/ML algorithms and methods for joint compute and radio resource management at the 6G edge leveraging accelerators - Control- and data-plane separation, real-time scheduling, and
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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-engineering-and-automation/nonlinear-systems-and-control ) at Aalto University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees
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, Robotics, Computer Science, Statistics, or related discipline. Strong background in Machine Learning and Control Theory. Demonstrated experience in research projects with industrial partners. Excellent
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to independently apply understanding of scientific theory to the structure and execution of research experiments. Demonstrated ability to interpret and explain the theoretical basis of the work performed. Preferred
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CARNOT project, GALOPER. Galoper is a joint project between GPM Rouen and LCS Caen aiming at building up a complete picture of the mechanisms controlling the Gallium oxide behavior within the porous MFI
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control implementations. Write technical reports and contribute to project review meetings. Publish research results in peer-reviewed conferences and high-impact scientific journals. . Basic Qualifications