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-terrestrial networks where communication signals will be linked via satellites. A portion of the communication signals will be reflected from the Earth's surface and can be received by satellites in the same
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training infrastructure must eventually scale beyond a single data center, requiring communication between multiple data centers over Wide Area Networks or the Internet. Such communication exposes
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effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable
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. This project will explore techniques to secure these systems against novel network-level attacks. Key objectives include developing secure communication protocols, analyzing vulnerabilities in peer-to-peer and
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build the sustainable companies and societies of the future. Pervasive and Mobile Computing (PMC) research subject addresses fundamental challenges in distributed systems and mobile networks, enabling
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build the sustainable companies and societies of the future. Pervasive and Mobile Computing (PMC) research subject addresses fundamental challenges in distributed systems and mobile networks, enabling
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—critical capabilities enabling a wide range of robotic applications. As a PhD student, you will receive academic and pedagogical training and become part of a dynamic, international research community and
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should do it — with high assurance. Our project aims to integrate Linear Temporal Logic (LTL) and the Planning Domain Definition Language (PDDL) to build a more expressive and efficient framework
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aims to advance the field of time and frequency (TF) transmission in data communication networks. The focus of the research will be on distributed fiber optic sensing (FDOS) and machine learning
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others, we are a key partner in the joint SLU and Umeå University - CERE ; we host the head office of European Forest Institute’s Forest Bioeconomy Network . The Department has strong domestic and