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- Fondazione Bruno Kessler
- Università degli Studi di Brescia
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, design, and validation of data-driven models for managing Demand Responsive Transport systems. The approach will be geared toward developing flexible, scalable, and interoperable solutions that can be
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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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archaeologists to understand AI results – Generalization and transferability analyses, considering domain adaptation and transfer learning strategies to ensure model robustness across different geographic regions
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on developing new methods, models, architectures, and tools for monitoring, forecasting, and managing distributed energy resources powered by renewable sources, building on the results achieved within Spoke 5
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when manipulated content is used to incite hostility toward marginalized groups. While large language models (LLMs) offer potential for fact-checking and counterspeech, current systems often struggle
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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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to classify landslide types primarily using geological and geomorphological data The Research Assignment is aimed at developing Artificial Intelligence (AI) models, mainly CNN and ViT, for the automatic
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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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, including business models and governance, digital transformation, sustainability, entrepreneurship and start-ups, service and open innovation, organisational learning and knowledge management. The PhD student
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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