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biomedical signal processing and artificial intelligence applied to cardiovascular health, with extensive collaboration with hospitals and international research partners. Selection process Interested
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the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support
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of microscopy acquisition protocols, contributing to the development of high-throughput platforms combining electron microscopy and artificial intelligence. PeCATHS is committed to develop an integrated long-term
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aims to accelerate materials development through digital methodologies, combining robotic automation of experimental tasks with artificial intelligence to optimize processes and establish composition
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degree such as Master's degree in Research in Mathematics, Applied Mathematics, Mathematical Engineering, Computer Engineering, Data Science and Computer Engineering, Artificial Intelligence, Machine