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of cavitation predictions in realistic applications, particularly in pump impellers. This will enable the optimization of the cavitation margin, improving pump reliability and lifespan without increasing the cost
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risk assessment and monitoring, and metabolomics, where particular attention is given to the development and optimization of (bio)analytical comprehensive workflows for polar metabolites and lipids. We
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(image reconstruction, processing, and analysis), the Bio-Imaging Lab (preclinical neuro-MRI), and the Laboratory of Cell Biology and Histology (cell biology and advanced microscopy). These teams
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advanced and intelligent optimization and simulation techniques for warehousing processes and their related activities. The research will be in close collaboration with a 3rd party logistics service provider
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for a strategic and challenging PhD position with the topic ‘Direct visual process quality feedback to optimal machine operation in sustainable manufacturing’, under the supervision of Prof. Jeroen De
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are emerging to process the vast amounts of data and provide the human decision maker insights into the data to make the optimal decision. One type of tools for decision making assistance is a recommender system
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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
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-guided therapy provides a promising line of treatment for PXE and related EC disorders. First, we will optimize the detection of pathogenic variants that are missed by current screening approaches. We will
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-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV, containing one or more references, a copy of your diploma (if already in