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with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio
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Apply now We are offering a full-time, three-year Postdoc position as part of the Dutch Research Council external link (NWO) ENW-XL programme. You will join the Levato research group at the Regenerative
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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alignment with the strategic directions of the STS PNRR programme. Scientifically, you will in particular: propose and conduct rigorous research in the field of model-based digital system engineering and
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(e.g. Presentation, PsychoPy, E-Prime, Gorilla). You have experience in data analysis, visualisations and programming in R and/or Python. You have experience with statistical models (e.g. mixed-effects
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to reduce these emissions by at least 1 Mton in 2030. In support of these policies, several research projects funded at (sub-, inter-) national level (such as the Netherlands Research Programme on Greenhouse
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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sensing provides large-scale and consistent observations, in-situ data collection remains a vital component for ground-truthing, model calibration, and validation of automated monitoring. However
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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contribution to addressing the major societal challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics