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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA CIVILE, CHIMICA, AMBIENTALE E DEI MATERIALI | Italy | 18 days ago
science, this approach will deliver tools for data-driven, sustainable composite design and inform industry decision-making on a global scale. Parametric modelling with 3D CAD tools and programming
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The Statistics (STAT) program in the Computer, Electrical, and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah University of Science and Technology
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-driven forecasting and simulation models. These environments will support the modelling and analysis of infectious disease spread in urban settings as well as sustainability assessment and data-driven
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position in the area of Learning, Optimization, and Decision Analytics. SCAI (https://scai.engineering.asu.edu/ ), one of the eight Fulton Schools, houses a vibrant Industrial Engineering and Computer
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of electrochemical effects into numerical and theoretical models describing the flows within LMBs. These flows, driven by magnetohydrodynamic or thermal phenomena, can become unstable and lead to a short circuit of
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technology Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam) Country Netherlands Type
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Chalmers University of Technology is host for a well-funded tenure-track Assistant Professor position in Data Driven Cell and Molecular Biology, in a vibrant, international, and outward-looking work
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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(mainly developedat UEE). In particular the scientific program consists of the following tasks: – Modeling dissolution and precipitation of carbonate minerals within the caprock driven by diffusive and/or
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applications. The project integrates: Computational Fluid Dynamics (CFD) and multiphase flow modeling Radiative heat transfer Machine learning and reduced-order modeling Data-driven optimization for industrial