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-driven modeling. - Familiarity with vortex methods, URANS/LES, or hybrid aerodynamic modeling. - Interest in the integration of modeling into estimation and control frameworks. Offer - Full-time
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demanufacturing and advanced AI. Building on our infrastructure for product identification, computer vision, and lifecycle assessment, we will launch the REINFUSE project in 2026, a four-year Flanders Make SBO
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/RFSoC boards, generating synthetic training datasets and extracting robust features for SIGINT and spectrum‑monitoring pipelines Develop and integrate TDOA/FDOA‑based geolocation methods into RF
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of medieval Latin. Excellent scientific writing skills, with a high production rate. Minimal comfort with computer tools and quantitative methods. No technical expertise is required, but a minimum level of
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concrete (corresponding to 40% of cement use) and CEM I cement, leading to inaccuracies in estimating CO₂ capture, especially for other cement-based materials and modern blended cements. This project will
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/ Deep Learning (particularly Computer Vision or 3D perception) Verification & Validation (V&V) of advanced algorithms, software or systems Formal Methods Safety Engineering / Safety-Critical Systems
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satellite-derived metrics. Apply downscaling methods to RCM outputs and assess model uncertainty across different climate simulations. Publish results in high-impact journals and contribute to open-source