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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in optimization for statistical learning to join the Image, Data, Signal (IDS) department
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optimization technologies are revolutionizing the way power grid is operated and planned. CEEESA is seeking talented and motivated researchers to enhance its capability in solving energy challenges using
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work tasks You will be part of ongoing research activities that address the market-driven operation and economic optimization of integrated electricity–cooling systems, with a particular focus on
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but not limited to: o Quantum error correction, fault tolerance, and resource optimization. o Entanglement dynamics, quantum control protocols, and hybrid quantum-classical algorithms. o Modeling and
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integrated energy systems that support the green transition. Your work tasks You will be part of ongoing research activities that address the market-driven operation and economic optimization of integrated
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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. Area of Research: Sustainable mineral processing, with emphasis on phosphates beneficiation and process optimization. Main responsibilities: Conduct literature review on phosphate ore and waste
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 6 days ago
are envisaged to optimize the magnetic equilibrium at the plasma edge and investigate the heat transport and plasma physics for different divertor locations and geometries. One position is planned to be in
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collaborative environment with projects and interactions spanning multiple labs within the group, across NIST and externally. Candidates should have a PhD in physics, electrical engineering, mechanical