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ESSENCE: Efficient Self-Supervised Machine Learning for Adaptive Wireless Communication Systems This project investigates self-supervised learning (SSL) for wireless communication systems to improve
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the opportunity to also contribute to our well-established collaboration with the Faculty of Electrical Engineering and Information Technology. Applications such as Machine Learning are driving up computational
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on the effective combination of mechanics and AI, in a broad civil and environmental engineering perspective. TU Wien is currently expanding its existing Center for Artificial Intelligence and Machine Learning
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and molecular dynamics) and data processing Prior experience on machine learning approaches is a plus Interdisciplinary background with work developed at the intersection between physics and biology