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closely related field focusing on artificial intelligence applications; (b) advanced proficiency in programming with Python, MATLAB or R; and (c) experience in developing algorithms for remote sensing
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in developing new tools to understand the nervous system and to explore theories behind neural phenomena. As for developing new tools, we have been working on network alignment algorithms [FCC+21] and
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Vacancies PhD position on Dependability Driven on Device Learning Algorithms for Embedded Neuromorphic Architectures Key takeaways Edge devices that can learn autonomously while guaranteeing
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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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an extensive array of resources: UAVs for communication protocol, edge computing and control algorithm development; THz transceivers for high-frequency communication channel measurement and sensing; Real-Time
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revisit discretization methodologies in view of modern requirements and computational capabilities. The candidate will focus on developing mesh generation algorithms meeting the following criteria
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Description The Humanities Institute and the Center for Folklore Studies at The Ohio State University is hiring for a Post Doctoral Scholar position in Folklore in the Age of Algorithms and AI for the upcoming
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Scholar position in Folklore in the Age of Algorithms and AI for the upcoming 2025/2026 academic year. The digital and social media platforms where we conduct much of our everyday expression today
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motivated the development of Federated Learning (FL) [1,2], a framework for on-device collaborative training of machine learning models. FL algorithms like FedAvg [3] allow clients to train a common global
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. The monitoring of telecommunications and energy production and distribution networks are characteristic examples of such time-critical applications. The project aims to propose unsupervised online CPD algorithms