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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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assignments and assists the Controls Supervisor with system upgrades, commissioning, and optimization projects. Responsibilities Install, program, calibrate, maintain, and repair building automation systems
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ongoing optimization and administration of Workday Finance business processes and workflows. Assist Finance process owners in identifying workflow improvements, operational efficiencies, and control
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will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in close collaboration with the Technical
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instrumentation into next-generation research facilities. Your responsibilities Working closely with scientists and engineers, you will Operate and optimize advanced UHV systems Develop and improve crystal growth
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for Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in
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team working across electrolyzers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in close collaboration with the Technical University of Denmark (DTU
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networks. Building on the results of the first prototype, the researcher will contribute to the development and optimization of its hydraulic, mechanical, energy and control components, leading
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portfolios, jointly optimizing the HPPs with solar and wind generation. Finally, the scheduling framework will be coupled with a dynamic control layer, enabling HPPs or VPPs to reliably execute the schedules