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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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infrastructure in GPR radargrams and estimates its depth. The project builds on the growing availability of high-quality GPR data collected at the University of Twente’s Utility Mapping Site (UMS), a unique test
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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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research. You will contribute primarily to three areas: data, implementation, and infrastructure with user studies. Data You will work closely with PhD candidates on data curation, particularly on datasets
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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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of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty
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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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October 2026 Apply now Do you want to use artificial intelligence, geospatial data science, and urban analytics to create healthier and more equitable cities? Are you excited about developing innovative AI
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to release information for external applicants ” as part of the Conduct Inquiry Process and Procedures for External Applicants and Finalists to Tenured Positions . Candidates for a tenure-track position
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the gap between conventional deterministic safety assurance approaches and emerging data-driven and autonomous technologies, helping to define future ESA frameworks, standards, and practices for crewed