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looking for a motivated POSTDOCTORAL RESEARCHER IN OPTIMIZATION FOR COMPLEX ENERGY AND SUSTAINABILITY PROCESSES Are you looking for a future industrial research position or a long-term academic career? Do
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OPTIMIZATION FOR COMPLEX ENERGY AND SUSTAINABILITY PROCESSES Are you looking for a future industrial research position or a long-term academic career? Do you want to be part of building up research – preferably
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impeller performance, analyze hydrodynamic characteristics, and identify key synthesis parameters influencing material quality. The resulting models will act as a predictive tool for process optimization and
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material quality. The resulting models will act as a predictive tool for process optimization and design improvements, providing a foundation for scalable industrial applications. Job Description: The
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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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, process optimization, and potash brine valorization. Main responsibilities: Conduct literature review on potash ore processing (carnallite) and brine management practices; Perform mineralogical and chemical
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dimension of uncertainty in power system operations, necessitating more complex and adaptive decision-making processes for system operators. While some prototypical power system optimization problems have
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simplified actuator models and are not explicitly included in the optimization process. This project will play a key role in translating advanced CFD–ML methodologies into practical design and control
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). Research advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices. Work closely with industry partners to validate and optimize the developed
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date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical linear algebra, and algorithm design. Proficiency in