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Nature-based solution should be evaluated and compared with other tested technologies. One main goal is to optimize existing technologies, combine them into innovative treatment trains to remove
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-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and
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). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system
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, biomolecular extraction, protocol optimization, as well as interaction with project partners and platform personnel. Your tasks include, but are not limited to: Cell culture (human cells [primary, cell lines
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innovative process design/optimization and uncertainty quantification in CFD Extending the capabilities of legacy CFD software, to perform ML-aided stability and sensitivity analysis in real-world industrial
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). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system
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leveraging real-time big datasets from distributed energy resources (DERs). · Contribute to integrate optimal solutions for operating local energy markets into Real-Time Hardware-in-Loop (RT-HIL) lab
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Testing and Experimentation Facility (TEF) for the energy field. Specifically, it leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy
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at SPARC have contributed to several seminal papers, book chapters, and books in the fields of waveform optimization, vital signs monitoring, joint radar and communications, sparse arrays, interference
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address these needs and optimize workflows. Investigation of state-of-the-art methods from explainable AI and adaptation of suitable methods for task automation Disseminate results through scientific