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campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences, molecular biotechnology and computational sciences. The modern Campus harbors
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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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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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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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groups on campus to co-develop and implement innovative computational approaches for consortium-wide challenges Lead the implementation of data management practices across the SynthImmune consortium
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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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architectures. Emphasis will be placed on heterogeneous computing and the optimal use of CPU and GPU resources to maximize model performance, scalability, and portability. A particular focus of the position will
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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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2026 - 15:37 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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priorities of the Department of Mathematics and Computer Science by establishing a dedicated research group on optimization and will actively participate in research networks and initiatives within