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Engineering, Control Engineering, Mechatronics, Robotics, or a related discipline with a strong focus on dynamic systems. Strong background in state-space modelling, estimation theory, and control systems. Good
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activation, reliability, robustness and the fact that they are maintenance-free. Despite these many advantages, the exact mechanisms that control performance in industrially utilised thermal batteries has
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble
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for Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in
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apply. Understand ML/DL frameworks such as TensorFlow and PyTorch. Familiar with version control systems such as Github, Git, etc. TOEFL, IETLS or other certificates that can prove your English level
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histopathology and clinical information to learn robust cross-modal representations for diagnostic prediction. It pursues two integrated objectives: (i) to develop generative and explainable AI approaches
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strategies that maximise information gain under resource constraints; RL-based approaches for sequential intervention and control; and robust learning methods that adapt to incomplete observations, changing
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vehicles, robust control, and experimental validation. The work will be carried out in close collaboration with the partner team at Poli-USP, whose expertise covers robust control, digital control
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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questions into robust machine learning implementations, including preprocessing, model training, validation and deployment is part of your role; collaborating enthusiastically with domain specialists and