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Field
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devices. Yet, predicting and exploiting nonlinear behaviour, particularly the role of modal couplings in energy transfer and dissipation, remains a fundamental challenge. This PhD project offers a unique
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handling, enabling first-time-right manufacturing. The predictive quality of these tools relies on accurate constitutive models that describe the behavior of the molten material during forming. With
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Discovery to Engineering Job description Nonlinear dynamics lies at the centre of many mechanical systems, from large-scale structures to nanoscale devices. Yet, predicting and exploiting nonlinear behaviour
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Modeling: Develop detailed mathematical models to describe and predict polarization behavior in array antennas. These models will serve as a foundational tool for understanding key factors affecting
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-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug
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candidate will build on Halbertsma et al. (2020) and Elshout et al. (2021) to develop and validate functional MRI-based biomarkers capable of predicting training efficacy and providing personalized training
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sources, such as wind and solar. As a consequence of this shift, the amounts of energy that are traded at the short-term markets throughout a day are uncertain, as they depend on hardly predictable weather
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&IS) at Eindhoven University of Technology (TU/e), collaborating closely with researchers working on spare parts logistics, supply chain design, and predictive maintenance.
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analytics (statistical models, machine learning, uncertainty quantification) to monitor and predict cycling travel conditions from various perspectives (safety, crowding, travel time, comfort, etc
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! Are you fascinated by how the brain predicts and adapts to the world