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our community. We are now looking for a Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems Are you passionate about developing AI-based and quantum-inspired
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PhD Stipend in Digital Twin Modelling and Multi-Timescale Optimization of Electrolysis Systems Apply Vacant position PhD Stipend in Digital Twin Modelling and Multi-Timescale Optimization of
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sustainability-driven optimization of hybrid multi-material structures. The work focuses on bringing environmental and circularity goals into structural design alongside strength, stiffness, and cost
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segregation, interface-related energy losses, and insufficient process reproducibility. Addressing these challenges requires a workflow that connects rapid materials and process exploration with
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renewable energy. You will investigate quantum and hybrid quantum–classical methods for power system analysis and optimization, with emphasis on their practical performance and suitability for real
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neural networks, and physics-informed machine learning in power systems Set up benchmark grids and generate or process suitable simulation data for power-flow, voltage-prediction, or state-estimation
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Mathjobs.org | about 1 month ago
consists of researchers from various countries and the work is done in English. DIMAG is co-located with the IBS Extremal Combinatorics and Probability Group (ECOPRO). Website: https://dimag.ibs.re.kr
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consists of researchers from various countries and the work is done in English. DIMAG is co-located with the IBS Extremal Combinatorics and Probability Group (ECOPRO). Website: https://dimag.ibs.re.kr
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-silicon validation; test generation and optimization; robust device tuning; system-level test; lifetime test and reliability management; and test automation. Further information can be found under
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successful candidates will develop fundamental theory and practical algorithms that move reinforcement learning closer to real-world systems. Position 1 will focus on trajectory-centric optimization