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. Research activities align with scientific and technological challenges and current societal issues related to optimizing resource use and renewing industrial processes in a sustainable development context
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research and publication record; proven ability to independently design, execute, and optimize a broad range of fabrication processes; practical and theoretical familiarity with many process categories (e.g
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of the additives in phosphate ore processing. Study the interaction mechanisms between additives and mineral surfaces using surface chemistry and interfacial analysis techniques. Contribute to the optimization
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This position will be dedicated to research projects aiming developing and implementing experimental focused application of AI and automation tools for unraveling fundamental interfacial processes
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Science, Industrial Engineering, or a closely related field by start date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 days ago
has worked for over a decade on advancing the theoretical foundations of reinforcement learning, using a combination of tools from statistics, optimization and control, in order to build more efficient
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quantum computers, which represent a promising path towards fault tolerant and scalable quantum computing. The project addresses a broad range of optimization problems relevant to both science and industry
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-performance clusters are required. Knowledge, Skills, and Abilities: · Knowledge in advanced statistical theory and methods. · Strong optimization and computational skills to process large-scale
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: Sustainable mineral processing and hydrometallurgy, with emphasis on potash beneficiation, process optimization, and potash brine valorization. Main responsibilities: Conduct literature review on potash ore
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: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering (circular-economy and low-impact methods) GTI’s mission is to train