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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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Development of simulation and optimisation models for smart charging and bidirectional charging of electric vehicles Modelling of renewable energy generation and consumption within energy communities
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related to clouds, radiation, and atmospheric circulation. Climate models are at the core of our research, in particular models that simulate global weather and climate at kilometer-scale resolution. We
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motivated PhD student, who will carry out Lagrangian transport model simulations with FLEXPART, of the emissions originating from rocket launches as well as re-entering space objects. The PhD student will
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, all of our work is related to clouds, radiation, and atmospheric circulation. Climate models are at the core of our research, in particular models that simulate global weather and climate at kilometer
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the atmosphere. Your personal sphere of influence: We seek a highly motivated PhD student, who will carry out Lagrangian transport model simulations with FLEXPART, of the emissions originating from rocket launches
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, as well as involvement in in-situ measurement campaigns on track Contribution to the creation of simulation models (e.g., multibody systems, basic friction and drive models) for interpreting
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quantum chemistry software capable of simulating molecules Ideally, prior experience with embedding methods or molecular crystals Excellent knowledge of written and spoken German and English Scientific
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for engineering mechanics in mechanical, industrial, digital and biomedical engineering courses of study. In addition to the basic training, specialization lectures for advanced modeling and simulation techniques
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plus) related to electrical engineering, power electronics or similar Strong experience with conceptualisation, simulation, modelling of power electronics (experience in HiL-Methods is a plus) Solid