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The Faculty of Sciences and Bioengineering Sciences, Department Computer Science, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a
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. The project will therefore combine AI-driven optimization, data-driven discovery, and close interaction with experiments. You will work in a collaborative, interdisciplinary team and interact closely with
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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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exploration and optimization of operating conditions. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5623-LOUBRE-001/Default.aspx Requirements Research FieldChemistryEducation LevelMaster
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application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments The research area for the position is complex networks and multi-agent
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. The techniques used will include Laser Doppler Vibrometry (LDV) and Air Coupled (AC) ultrasound detection. The candidate will design optimized setups for (i) vibration excitation by an impactor or ultrasonic
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biofeedback in people with CLBP to alter the way their muscles contract and explore the impact this has on pain symptoms and task performance. This project will integrate experimental research with the patient
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TheBestSteel. This project focuses on the evaluation of steels under hydrogen environments, but also on the microstructure modification to optimise their performance and mitigate hydrogen embrittlement (HE). In
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Simulation” (Reference: PID2024-157499OB-C31). This project focuses on the development of advanced computational models and optimization techniques for improving the performance of cochlear implants. It
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algorithms. Our research integrates expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems