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on their reliability. Finally, the research will also focus on new Scientific Machine Learning methodologies that combine data-driven models with physics-based models. Courses in the MATH-05/A Numerical Analysis program
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data and archaeological signatures (e.g., circular mounds, linear ditches, rectangular foundations, etc.) tailored for AI applications – Feature engineering and representation learning to enhance
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2 Sep 2026 Job Information Organisation/Company Università degli Studi di Brescia Research Field Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Leading Researcher
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driven by elastic instabilities. Those kind of materials are usually called "active gels" and the theoretical analysis, that is the core of the research project, is based on continuum models of thin discs
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a Research Infrastructure? No Offer Description Postdoc position in RNA Technologies Flagship – Foundation Models for RNA Regulatory Networks: from RNA-RNA Interactions to RNA-DNA Genome Regulation
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assurance, data science, data-driven modelling, digital manufacturing workflows, and Digital Product Passport B.3 Hands-on experience in machine learning, ontologies and knowledge graphs, IIoT and digital
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community. You may develop projects in fields including • Data and computational science: Bioinformatics, AI/ML, computational modelling, software engineering, data management, data science. • Imaging and