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high-performance applications. The project brings together materials science, powder technology, additive manufacturing, and data science. Silicon carbide is widely used in demanding thermal, structural
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of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after
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, additive manufacturing, and data science. Silicon carbide is widely used in demanding thermal, structural, and electronic applications, yet its production is energy-intensive and relies on global supply
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: Develop continuum-based two-phase models to predict internal erosion and pipe progression in clay-sand layered dikes. Derive constitutive modelling approaches from high-fidelity DNS-DEM data generated
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liquid biomarkers for leukodystrophies by integrating multi-omics data from patient plasma and iPSC-derived human disease models. You will investigate disease-related molecular signatures using
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unit, Coming to Delft Service , offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and
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pharmacokinetic models and signal analysis methods that turn nanobubble transport into a diagnostic biomarker. Information Prostate cancer is the most common cancer among men in the Netherlands, and its diagnosis
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-simulation-tool for indirect-noise investigations ETH Zurich (Switzerland, ca. 2 months): to perform experiments on indirect noise Information and application Are you interested in this position? Please send
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solutions that help move the world forward. QuTech At QuTech, we work on radically new technologies with world-changing potential. Our mission: to develop scalable prototypes of a quantum computer and a
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) with computational methods. The candidate will obtain single-molecule multiplexing data and validate machine learning predictions using the high-throughput data. The successful candidate will collaborate