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Field
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with high-performance computing (HPC), parallel computational fluid dynamic simulations can currently resolve spatial and temporal scales of industrially-relevant turbulent flows within days/weeks
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current quality control practices are often fragmented and reactive. To move towards a more reliable and circular manufacturing approach, we need intelligent quality control systems that can adapt in real
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: MSc in materials science engineering. Backgrounds in chemistry, physics, computer science or a related area are also welcome. Good expertise or strong interest in numerical modeling, machine learning
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(due to false positives, when non-existing vulnerabilities are reported). False negatives that slip through are a security threat, while false positives hamper the usability of such tools. Current static
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reasoning to integrate data and theory. Methods include regression analysis, experiments, Bayesian modeling, and abductive reasoning. Our work in this area also covers how firms learn and protect knowledge
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strategies for SNAREopathies". We use technology to produce human neurons and create human neuronal networks in vitro that severe mental disorders, such as the model SNAREopathies are a diverse group of brain
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sampling frequency of self-reports. The current project has three main aims, contributing to monitoring narcolepsy with an mHealth application: Analyzing the Narcolepsy Monitor database to identify symptom
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models combined with the finite element method. Constitutive relations are required to describe material behavior. Advanced stainless steel typically possess complex microstructures across various length
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. You will also get to know some of our faculty members and current PhD students, hear them talk about their research, and have the chance to ask questions. Interested? Then please register here Opens
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social innovations. Your research will analyse AM in the Netherlands within geopolitical and socioeconoimc context. The current geopolitical turmoil is increasingly answered with industrial strategies