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high-quality research on interpretable and learning-based stochastic optimal control for over-actuated electric vehicles, with a focus on ensuring robustness and fail-safe operation. You will: - Develop
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computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the anthropogenic and natural processes, and their relative
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urban catchments. Develop road designs that optimize water accumulation or flow. Create a framework for the selection and design of climate-adapted roads. The research will primarily involve hydrological
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-frequency circuits is meritorious. What you will do: Develop your own scientific concepts and communicate the results of your research verbally and in writing The position generally also includes teaching on
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individual interested in pursuing a PhD focused on exploring the complex relationship between housing renovation, efforts to reduce climate impact through increased repair and reuse, and the development
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develop innovative remote sensing capabilities to monitor oceans, ice, vegetation, and natural disasters. Be part of a dynamic, international team shaping the future of environmental monitoring! About us At
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for real-time decision-making and optimization under uncertainty. Develop techniques for computationally efficient mixed-integer stochastic optimization. Investigate the interplay between energy consumption
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both qualitative and quantitative methods, e.g., case studies, interviews, applied analytics, and field experiments. By developing new theories and applications, you will have the opportunity to solve
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on building the next generation of quantum processors based on superconducting circuits. To achieve this ambitiuous goal, we have a variety of projects related to: Development and optimization of nano