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-tuning, testing, and validation of AI agents. • Design, verify, and validate AI agents covering various disciplines to ensure a diverse range of capabilities. • Design simulators for autonomous spacecraft
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03.04.2024, Wissenschaftliches Personal PhD in Green Industrial Policy Design (m / f / d) at the TUM School of Social Sciences and Technology, Professorship for Public Policy for the Green
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03.04.2024, Wissenschaftliches Personal PhD in Climate Finance and Innovation (m / f / d) at the TUM School of Social Sciences and Technology, Professorship for Public Policy for the Green
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the impact of design measures improving aerodynamic robustness. In this research project, you will generate new capabilities for controlling the three-dimensional flow and further increasing the efficiency
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10.03.2023, Wissenschaftliches Personal We are looking for a motivated Ph.D. student or post-doc interested in developing novel processes that boost the production of bio-based liquid fuels and other chemicals through electrical energy supplied to electrochemical / electro-biotechnological...
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ability to identify and solve problems through a proactive, systematic approach Mechanical design as well as analysis of structural and fluid dynamic engineering problems Ability to work in a team as
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linkages with other forms of IPV; and third, to design and test a community-based prevention approach. ECOVI will capitalise on a mixed-methods approach, including (i) systematic reviews and meta-analyses
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of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling
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for structure-based ligand design projects in order to develop prediction methods to identify new food-derived modulators of taste and odorant receptors. Area of responsibility includes: • Ligand docking
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goods). Operators offering the service utilize a fleet of vehicles to serve these customers. Depending on the service design, this requires solving complex dynamic and stochastic routing problems