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for improvement; develops and implements solutions to optimize performance and reduce costs in the most economical and effective manner. • Applies industrial engineering practices including process mapping, time
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this PhD project at TU Delft, you will develop distributed computational methods for game-theoretic control and optimization to address these challenges. As part of the European Research Council (ERC)-funded
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 13 hours ago
adapt, optimize, and maintain software systems, moving toward perpetual distributed systems. The Spirals project team works in cloud computing and mobile application development. Analyzing the history
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estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate their accuracy, robustness, computational
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biomechanics, robotics, and advanced materials within the laboratory. Responsibilities: Support the team towards comprehensive literature reviews on injury biomechanics, physiological effects, computational
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: Optimize stakeholder contributions to drive excellence and enhance academic, professional and personal growth and lifelong learning. Innovation: Support intellectual freedom and creativity, encouraging
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community. Working under the AI/ML Support Team Lead, this role focuses on developing and optimizing Generative AI models, maintaining computational benchmarks, and providing expert consultation
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, latency, energy consumption, reliability, etc.), enabling joint optimization of distributed embedded computing systems. Within this context, IETR, Université de Rennes and INSA Rennes are offering a two
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to apply for a faculty or staff position, please review this tip sheet . The University of Miami Department of Physician Logistics and Optimization has an exciting opportunity for an Executive Director
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research teams: 1) The AI Group: Experts in systems, control, optimization, Large Language Model (LLM) training, domain adaptation, and instruction tuning, agentic AI orchestration, and reinforcement