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extent. The position is offered in relation to the research group “Power Electronic Control, Reliability, and System Optimization " and the Postdoc will be positioned to the section for “Applied Power
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, scheduling and operations of complex systems. This topic will pursue integrated, holistic planning and scheduling to optimize resilience across several factory systems. Development of AI-based tools and
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, holistic planning and scheduling to optimize resilience across several factory systems. Development of AI-based tools and complex simulation systems is expected to be a core contribution. 3) IT and OT
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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for Surface enhanced Raman Scattering (SERS). You will spearhead and coordinate our development and optimization of new SERS substrates as well as sample preparation of clinical samples that we receive from our
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program aimed at tackling one of the life science industry’s biggest challenges: Closed-Loop Design and Optimization of Biologics. The research program will build on the recent advances in protein design
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to enhance enzyme stability, recyclability, and catalytic efficiency, including advanced surface modifications, optimized support materials, and improved reactor designs. The Department of Chemical and
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for the position. Knowledge of TSN or real-time networking. Experience with one or more of: combinatorial optimization algorithms, ML algorithms, timing analysis network calculus, real-time systems. Excellent
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molecular reactions at the single to few molecules level. For the project to develop efficiently, this requires competencies in optical and quantum physics, experience in development of experimental control