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and machine-learning methods for multi-objective optimization of efficiency, reproducibility, and operational stability Study intrinsic material stability, light-induced phase segregation, ion migration
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staff position within a Research Infrastructure? No Offer Description Work group: Mechanisms of Sustainable Electrocatalysis Area of research: PHD Thesis Job description: Reference No. CE 2026/12
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Group (f/m/d)(Ref. 26/16) in the Weierstrass Group on “Data-driven Control and Optimization" to be filled at the earliest possible date. The position is embedded in the Weierstrass Group on data-driven
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training offers and individual opportunities for personal and professional development. Work-life balance: Optimal conditions for balancing work and private life, as well as a family-friendly company policy
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with other team members Work with collaborators on all aspects to improve the concepts, optimize the fabrication process & validate device functionality Your Profile: We seek a highly motivated individual with
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optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, high-throughput experimental
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to optimize and analyze the developed sensor systems. We are looking for a highly motivated PhD candidate to strengthen our interdisciplinary research team. Be part of change Develop intelligent sensor systems
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through to pilot manufacturing. You coordinate the availability of consumables in your area to ensure optimal operational capability and smooth workflows. Across the organization, you represent the group in
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ions of pharmaceutical relevance. Conducting ion-optical simulations to optimize ion trap performance and improve ion accumulation efficiency. Integrating the experimental control systems of the adapted
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27.07.2026, Academic staff TUM is seeking a Doctoral Researcher to develop manufacturing-optimized fixed-wing UAVs in collaboration with Airbus Defence & Space and TUM IWB. The position combines