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focuses on developing advanced optimization and control strategies (e.g., deep reinforcement learning) for large-scale sustainable grids, to enhance overall system stability, flexibility, and resilience
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applying quantum computing to addressing real-world challenges? Join us to develop quantum optimization methods that support the transition to sustainable and resilient electrical power systems! Information
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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in Battery System Optimization and Management is open for appointment from January 1, 2026, or soon hereafter
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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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to optimization problems with possible topics covering: Variational quantum algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical
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Applications, written in English, should include: A detailed CV A list of publications (if any) A motivation letter Previous degrees List of courses with corresponding grades Contact details of 2 persons who agreed to give references Early application is highly encouraged, as the applications...
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. The duration of the position is 36 months. Your work tasks The work will especially contribute to projects in the area of modelling and optimization of reactors and systems for Power-to-X, fuel cell systems, and
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Organization U.S. Department of Defense (DOD) Reference Code USAFSAM-2025-0004-F How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The U.S. Air Force School of Aerospace Medicine is offering a faculty research fellowship at the University of...
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of the recruitment and description of the project] * Background of the recruitment and description of the project (Immediately after hiring) Conduct research in nonlinear optimization under the supervision of Prof