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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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infrastructures, with a focus on light electric vehicles, machine learning and artificial intelligence, SCADA data analysis, diagnostics and monitoring of renewable energy systems, electrical measurements, and
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simulation, Digital Twins, Big Data, IoT/Web of Things, HCI, Edge/Cloud Computing, AI, Computer Vision, Machine/Transfer Learning, Computer Science Education, Computational Thinking, Formal Methods, Logic, Web
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for the efficient simulation of complex quantum systems, with applications to optimization and machine learning. The research will also address the development of advanced methodologies for quantum error correction
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integrating AI with vision at the edge. Despite recent advancements, the synergy between AI and computer vision remains constrained by fundamental imaging bottlenecks. Conventional HDR techniques frequently
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-convex optimization, as well as splitting methods, and their application to automatic control and machine learning. Preference will be given to candidates who demonstrate an aptitude for collaborating with
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for the manufacturing sector, focused on regenerative models and operator-machine interaction with a view to Industry 5.0. Algorithms will be studied for the personalized adaptation of interactions, improving efficiency
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of measures, optimal transport, partial differential equations, and variational approximation methods, with potential applications to optimization and machine learning. The successful candidate will work in an
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multilingual settings, such as machine translation, and emerging agentic and interactive multimodal NLP systems involving human-AI collaboration present frontier evaluation challenges. The ultimate goal is to
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cities. Besides the requirements established by the rules of the IECS school, preferential characteristics for candidates for this scholarship are: – Master degree in Computer/Data Science, Mathematics