450 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Belgium
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. These methods will integrate machine learning techniques and real-time sensor data, to enhance operational efficiency, reduce costs, and ensure desired service levels, such as meeting a high percentage of demand
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. Your core research tasks include: Developing advanced MBS/EHD models for drivetrain systems, incorporating transient tribological changes. Creating machine-learning-based surrogate models to enable rapid
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Sciences at KU Leuven (e.g. thesis supervision, exam grading, etc.) in Dutch and/or English. You hold a Master’s degree in Law, with a specialization in ICT law. You are eager to learn and fascinated by
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breakthroughs in proof logging, where solvers do not just output an answer, but also a machine-verifiable proof (or certificate) of correctness. However, a major limitation of current techniques is that
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Website https://academicpositions.com/ad/ghent-university/2026/postdoc-researcher-29689… Requirements Research FieldEconomicsYears of Research Experience4 - 10 Research FieldEconomicsYears of Research
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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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available1Company/InstituteUniversity of NamurCountryBelgiumGeofield Contact City Namur Website http://www.unamur.be Street Rue de Bruxelles, 61 Postal Code 5000 E-Mail direction.unsm@unamur.be STATUS: EXPIRED X
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groups within CCB (Learn more: Bioinformatics & AI ). Your Role We are seeking a skilled computational biologist to organize and deliver training on bioinformatics and AI for the CCB research community
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both independently and as part of an international, interdisciplinary team Assets•Experience with computer vision or deep learning (e.g. PyTorch, TensorFlow)•Familiarity with street view imagery or other
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities