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documentation in support of numerous big data initiatives. Helps drive a culture of continuous quality improvement through reporting that enhances decision-making. Investigates and performs QA on user issues
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
process control requiring high-performance numerical tools for upstream optimization of the process PhD objectives: The CINDERELLA project aims to accelerate the mastery of the L-PBF process by considering
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. This position is to be filled at the Institute of Climate and Energy Systems - Energy Systems Engineering (ICE-1), where we develop models and algorithms for the simulation and optimization of future energy
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the competent authority of the Ministry of Higher Education, Research and Innovation (MESR). "Video content security in a deep learning coding architecture" Over the past few decades, numerous video compression
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of the position. The successful candidate will have a solid theoretical foundation in one or more of the topics: Computational Mechanics, Finite Element Analysis (FEA), Numerical Optimization
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will be extended to three-dimensional roughness configurations, requiring the development of dedicated numerical tools optimized for high-performance computing environments. Results will be
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, optimizing workflows, and ensuring consistent administrative practices across sites. Additional responsibilities include supervising administrative staff, supporting operational workflows, assisting with
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selection criteria Experience with AI / probabilistic AI / Machine Learning / Reinforcement Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Personal
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Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Experience with predictive maintenance, fatigue, fault detection