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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 9 days ago
innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. The Institute of Biological and Medical Imaging (IBMI) at Helmholtz
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regarding existing process chains and associated energy carriers Develop detailed process chains for selected energy carriers (e.g., dimethyl ether, hydrogen, ammonia, etc.) Design a methodological approach
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ideas and seek answers to pioneering scientific questions through collaboration, innovation, and exploration across many disciplines. We provide a dynamic environment which empowers excellence with state
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responsibility within the scope of “SIS100 Quench Detection” and “SIS100 Electrical Systems”. Conception of advanced test methods for electrical integrity at superconducting modules as well as future magnet
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. The majority of the qualifications necessary for attaining the degree can be acquired in courses specifically designed to suit the students' needs. That is, the customary distinction between major and minor
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process monitoring and control Explainable Artificial Intelligence (XAI) for interpretable decision-making in biosystems. Your responsibilities Collaborate with researchers to design, develop, and evaluate
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into an action–perception loop that drives the optical tweezers Use and further develop simulation tools to design and benchmark control strategies before deploying them on the microscope Integrate your software
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, TEM, EBSD). Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories. Designing active learning and experimental design
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correlate designed structure parameters to electrochemical performance. Perform active research on the materials synthesis, characterization, and electrochemical benchmarking. Receive individual trainings
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type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks Design and implement clustering and integration approaches (e.g., network-based and subspace clustering