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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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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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(PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI-driven solutions PCOG conducts research in parallel computing, search
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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