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PhD Position – High-Temperature Electrolysis – from stack design to operational optimizationFull PhD
cells with improved energy and power density, longer lifetime, and maximal safety. Find out more about our mission and future-oriented projects here: https://www.fz-juelich.de/en/iet/iet-1 We
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: Turbulence and VCA induced vortex modelling as safety cases for Urban Air Mobility Supervisor: Prof. Dr. rer. nat. Matthias Mauder, Chair of Meteorology and co-supervised by at least one
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Department (IFN‑2) at the Institute of Fusion Energy and Nuclear Waste Management (IFN) focuses on safety-relevant aspects of nuclear waste disposal. Our research combines fundamental and applied approaches
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HPC centers. Dresden, the capital of the State of Saxony, is a city with a beautiful historical city center and offers a high standard of living with high ratings in housing, safety, and healthcare. TUD
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will contribute to extending the scientific basis for safety assessment of final disposal concepts in respect of radionuclide retention. The doctoral thesis is part of a joint project funded by
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events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion
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agents within a distributed digital twin, the project links communication resilience directly to navigation performance, safety, and mission-critical decision-making. Objectives: extend communication
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applications. Existing research model multiple UAVs as a single shared entity in a centralized Digital Twin (DT), which poses safety risks to IAM operations if the cloud or central database becomes unavailable
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measurements using high-fidelity simulation approaches, serving as a reference for safety-relevant positioning performance assessment employ physics-informed modeling concepts to ensure consistency between
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impact the safety of flight. The thesis shall develop robust state estimation methods by combining factor graph-based sensor fusion, variance component analysis, and modern deep learning approaches such as