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-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering
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, ensuring that the research outcomes reach the broader scientific community. ESSENTIAL REQUIREMENTS A PhD in Electronic Engineering, Computer Engineering, Computer Science, Physics, or related disciplines
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. For more information about the RNA Technologies Flagship, visit: https://rna.iit.it/ The project aims to develop a new generation of artificial intelligence models to systematically investigate the role
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