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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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and motion of hand captured by 3D/4D scanning to the mechanics of the textiles for exoskeleton design. 2. Build and experimentally evaluate textile exoskeletons using lab-based motion capture, pressure
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established methods of microstructural analysis and mechanical testing with new schemes such as Acoustic Emission for non-destructive assessment of degradation and Machine Learning for development of predictive
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multimodal brain imaging techniques with novel neuromodulation. More specifically, we work to understand the mechanisms of (mal)adaptive plasticity and develop new treatment approaches for different
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practically in the lab using commercial rheometers, mechanical testers, polarizing microscopes etc., in addition to bespoke equipment built for establishing the controlled flow at tunable temperature and
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courses, mentoring, career support and conference opportunities. Qualification: The candidate must have at least an equivalent of a UK MEng 2.1 class degree in materials/mechanical/ manufacturing/chemistry
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in their postprandial satiety effects. Dietary fibers are associated with enhanced satiety and reduced later food intake, but currently the mechanisms of how of different dietary fibers contribute
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Department of Mechanical Engineering and the AI research group at the Vrije Universiteit Brussel (VUB) are looking for a PhD candidate to contribute to research on the optimization of a hybrid, laser-based
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across mechanical, materials and robotics engineering; optimisation, systems and control; and sustainable chemical engineering and biotechnology. Qualifications The ideal PhD candidate for this position is
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biology, and vaccine science. The Blasi laboratory has two main areas of research: 1) understanding the mechanisms and implications of viral infections in the kidney, including HIV and SARS-CoV-2 and 2