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Field
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application is limited by poor control of light emission intermittency, an effect known as blinking. A new research direction in our group aims to achieve control over blinking via modifications of NC surface
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sluice, which will then be used in a learning framework to design an automatic controller to optimize the usage of the sluice under various conditions. The other project will address challenges related
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-products. Monitor and control the migration of radionuclides and heavy metals throughout industrial processes. Optimization of Industrial Processes: Utilize nuclear techniques to enhance the efficiency and
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Associate on the track of Smart Integrative Energy Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms
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design and control biological systems. The cluster, launched on January 1, 2026, is funded by the DFG as part of the Excellence Strategy of the German federal and state governments, with TUM serving as the
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key element of the two-beam acceleration concept Emphasize Bayesian optimization approaches and integrate these methods into the facility control system Design, execute, and analyze accelerator
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performance testing (e.g., polarization curves, EIS). Design and execute experiments for materials optimization and degradation analysis. Maintain and operate laboratory equipment, including potentiostats
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managing supercomputer resources Strong skills in algorithm development for large sparse matrices Excellency in programming GPU accelerators from all major vendors Very good command of written and spoken
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advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices. Work closely with industry partners to validate and optimize the developed
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reactors and the study of sonochemical reaction engineering. We excel at controlled experiments aimed at determining the driving forces for optimally efficient sonochemistry across different reactor scales