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actions in distributed power grid systems at INSA Lyon (France). This thesis is co-supervized by LAAS-CNRS. Future energy networks will increasingly rely on interconnected and distributed
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will focus on distributed acoustic sensing on pre-existing telecom fiber networks, wavefield analysis, structural and geophysical interpretation, multi-modal data fusion, and lab-scale and field
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distributed energy sources. This PhD project will address the key challenges of modelling and co-simulation of cyber-physical power systems. Some challenges include the understanding of fundamental links and
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consumption throughout manufacturing and their use in smart cities or other smart methodologies. HVL contributes their experience in distributed, dynamic, heterogeneous systems that integrate sensor
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their use in smart cities or other smart methodologies. HVL contributes their experience in distributed, dynamic, heterogeneous systems that integrate sensor networks, the IoT and mobile devices, using
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algorithmic approaches and be conducted in the context of wireless networks, the Internet of Things (IoT), distributed learning, or edge computing infrastructures. The research topics may include, the
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possible renewal subject to available project funding. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8255-PAUPOT-005/Default.aspx Requirements Research Field Physics Education Level PhD or
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robotics and metamaterials? Join us! This unique research opportunity revolves around the physics of distributed robotic systems, mechanical metamaterials, active matter, and embodied intelligence
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Website https://www.aplitrak.com/?adid=eWFzZW1pbi5vemRlbWlyLjU2NzA2Ljk5MDhAdW5pY2R1Ymxp… Requirements Research Field Computer science Education Level PhD or equivalent Skills/Qualifications Communication
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background in privacy-preserving machine learning, distributed training, large language models, agentic AI, or cryptographic protocols is advantageous but not a requirement Qualification requirements PhD