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Field
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in a 5th generation district heating network. The key weakness of most models currently available and in use is their oversimplified description of physical, dynamic and nonlinear behavior
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control algorithms lies a physics-based simulation model, whose accuracy largely determines the effectiveness of the control loop. Position 3 – High-fidelity simulation of the LAFP process Current
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Are you fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production
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. Supervisory Controller Synthesis is an engineering approach to automatically derive a supervisory controller for a given discrete-event model that is safe with respect to certain requirements. Yet, the
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control algorithms lies a physics-based simulation model, whose accuracy largely determines the effectiveness of the control loop. Position 3 – High-fidelity simulation of the LAFP process Current
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those in a data- and compute-efficient manner to various problem settings. However, the perceptual possibilities are critically hindered by the language-focussed optimization of current foundation models
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are critically hindered by the language-focussed optimization of current foundation models, fundamentally limiting their ability for spatial reasoning, temporal logic, and operating in low-resource scenarios
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simulation model, whose accuracy largely determines the effectiveness of the control loop. Position 3 – High-fidelity simulation of the LAFP process Current simulation models do not fully capture the complex
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models currently available and in use is their oversimplified description of physical, dynamic and nonlinear behavior. The principal goal of the PhD project is to develop component models with a greater
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complement to wind and solar power in climate-neutral power systems. They can deliver a range of services, ranging from arbitrage (charging the system during low-price periods and discharging during high price