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of the convergence properties and efficiency (assessed through complexity bounds) of optimization methods for the solution of bilevel problems, with applications to quantitative finance and business decision-making
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the ability to prioritize incidents based on business impact. Performance Optimization: Knowledge of techniques to optimize AI system and data pipeline performance, including resource allocation, scaling
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language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences
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solutions. Through interdisciplinary programmes, living labs and large-scale testbeds, ERI@N drives impactful translational R&D with strong industry deployment. More details: https://www.ntu.edu.sg/erian We
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Università degli studi di Roma La Sapienza Dipartimento di Pianificazione Design tecnologia dell'architettura | Italy | 9 days ago
Description he Project is aimed at developing an "Energy Intelligence Data Platform" applied to the management of smart grids that optimize the production from Renewable Energy Sources (RES) and the uses
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, implementation, maintenance, and optimization of our database systems. The role requires hands-on expertise in database management, performance tuning, backup/recovery strategies, and troubleshooting complex
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MEcatronique' (SYMME - https://www.univ-smb.fr/symme/ ) laboratory was established in 2006 to enhance the University of Savoie Mont Blanc's (USMB) standing in the field of mechatronics. SYMME is a
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research. We are seeking a highly motivated Research Fellow to join our dynamic team
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collaboration with the University of Zurich. Mission The researcher will integrate, optimize, and stabilize the RNb-NeuS neural 3D reconstruction method within the AliceVision software architecture, enabling
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incorporate optimized machine learning algorithms, support standardized IoT protocols, and be validated in laboratory and semi-industrial environments. The project contributes to smart maintenance strategies