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of the occurrence of rare events, as well as model simplifications and associated a posteriori error estimate. This will mainly rely on the construction of optimal control strategies associated to the large deviation
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for Infrastructure Inspections and Interactions 2) Real-time processing, and 3) optimized power electronics. The section currently has 15 academics, including professors, PhD students, and engineers, to support
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the effectiveness of different grinding energies on phosphate liberation within flotation tailings. Developing an AI-driven intelligent framework to optimize grinding time to enhance phosphate liberation with minimum
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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are gaining significant interest for sustainable seawater desalination. This postdoctoral position is part of a research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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Postdoctoral Researcher positions to support its growing research portfolio in renewable energy-driven water production and condensation-based system optimization. The positions are designed for early-career
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DTU Physics seeks a talented and motivated postdoctoral researcher for a 2-year position in computational nanophotonics. The goal is to use inverse design, such as topology optimization
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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured
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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in