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Field
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methods with optimization and decision-support models. Background in one or more of the following: time-series analysis, neural networks, forecasting, uncertainty quantification, sensitivity analysis
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AI-driven network functions). Develop and integrate 6GApp‑like components, including: vertical application logic that reacts to network conditions, network‑application logic (AI‑based optimization
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the research activities entrusted to the officer take place: This ANR project lies at the interface between statistical learning (mainly deep learning) and combinatorial optimization (mainly stochastic and
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. The Role To enable the societal transition to a net-zero economy, electrical power systems are rapidly decarbonising supply whilst electrifying carbon-intensive demand. This is accelerating the integration
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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dedicated to soft robotics and advanced robotic systems within the DEXTER team at LIRMM in Montpellier, France. He or she will actively contribute to the design, fabrication, evaluation, and optimization
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for a candidate capable of developing ML models and optimization algorithms specifically designed for highly dynamic satellite communication (SatCom) systems that can handle networks of varying sizes and
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, and climate projections depends critically on the adequate representation of land-atmosphere (L-A) feedbacks. These feedbacks are the result of a highly complex network of processes and variables
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modern distribution networks and developing tools for the optimal integration of PEDs/LCTs and the design of effective classical and AI-based protection concepts. Your core responsibilities will also
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. This project is funded by the European Space Agency (ESA) and is and is fixed-term for 24 months. The project “TMNT – Threat Monitoring Networked Team” will develop multi-robot scouting approaches to explore and