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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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Übersicht PhD on Quantum Computing × AI for Optimization 100%, Zurich, fixed-term Drucken We invite applications for a PhD position at the intersection of quantum computing and artificial
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simulation or optimization tools. Experience with machine learning, reinforcement learning, or other AI-based methods. Knowledge of power systems, hydrogen systems, or multi-energy system operation
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analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods. A key challenge is the integration of prior physics knowledge into the data analysis
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PhD: Spatial Optimization of Land Use in Brazil Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 13
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an advantage but is not required Knowledge of power systems, optimization, or high-performance computing is highly desirable Experience with quantum software frameworks (e.g., Qiskit, PennyLane, Cirq
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PhD Stipend in Dynamic Modelling, Simulation and Optimization of Power-to-X Processes Apply Vacant position PhD Stipend in Dynamic Modelling, Simulation and Optimization of Power-to-X Processes
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innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application! Your work assignments The project focuses on the development and optimization of
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Participate in education and supervise student projects More specifically, within this project, you will: Develop and apply multi-objective topology optimization to identify and characterize the
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optimization Experience with large-scale algorithm design and implementation Knowledge of decision making under uncertainty Ideally, some exposure to machine learning methods A passion for research