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optimization models. Investigate how tabular foundation models can support energy-system modelling and optimization, including applications such as prediction, surrogate modelling, uncertainty quantification
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part of a project entitled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation through a
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the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power electronic conversion, energy and hydrogen storage, downstream processes
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Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation, power conversion, energy and
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work as well as to develop optimal control strategies for energy systems including building energy systems, energy storage systems and fire systems. The role will focus on conducting comprehensive data
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-efficient wireless power transfer system using RIS-enabled beamforming and optimized power management algorithms to ensure sustainable monitoring. Specific tasks include: i) Develop a RIS-enabled SWIPT
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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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● Model Development: Design, optimize, and characterize 3D cell culture systems, multi-cellular spheroids, or organ-on-a-chip platforms that accurately mimic human tissue microenvironments
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activities, regulatory compliance, energy conservation initiatives, and customer-focused service delivery. Primary Purpose of the Position: The Mechanical, Electrical, and Plumbing (MEP) Supervisor provides
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-translational modifications regulate proteins involved in cell–cell adhesion. The research will integrate top-down proteomics, molecular engineering, and biochemical and cell-based approaches to connect protein