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available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
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these frameworks to develop specific formulations and solution algorithms for the design of congestion pricing schemes using classical transport models and quantify the equity-efficiency trade-offs for congestion
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will learn and adapt the realms of the combustion modes and fine tune the performance for each while the engine is operated. Self-tuning, adaptive, control algorithms will be used. This part of the three
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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
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funding affect the subsequent performance of firms and scientists, in terms of outputs such as the number of papers, products, patents, etc. (Can an optimal applicant template be developed by training
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microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM components are in use
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a highly interdisplinary projects where the PhD student will learn and develop skills in sustainable material design, membrane technologies, prospective life cycle assessment, and industrial
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microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM components are in use
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to Improve Current Density and Energy Efficiency in Redox Flow Batteries). SPACER aims to develop new architectures for porous electrodes to improve the power density and energy efficiency of redox flow
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cancer (SCLC). As part of the EU-funded MIPrecise network (Marie Skłodowska-Curie Actions Doctoral Network), you will develop and apply advanced mass spectrometry and nano–liquid handling workflows