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communication delivers data to specific group of users simultaneously. Despite its efficiency, multicast faces technical complexities, especially in LTE and 5G networks [5], [6]. Traditionally, multicast bitrate
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training opportunities, embedded in a networked research community at the interface of chemistry, physics, and astronomy Werequire: M.Sc. (or equivalent) in chemistry, preferably specialized in analytical
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known as 3D networking. As they become the backbone of mobile communications, they also risk becoming prime targets for attacks, particularly in a context of increasing conflicts and hybrid threats
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communication across diverse IoT devices and networks, while maintaining efficiency in highly constrained environments. 1.2. Scientific/technical challenges This research addresses the challenges of IoT
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organized in four poles: “Computer Mathematics”, “Data Analytics and Machine Learning”, “Efficient and Secure Communications”, “Modeling, Simulation and Learning” and “Proofs and Algorithms”. The Ph.D
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biodiversity analyses: Calculate species richness, diversity, and evenness indices across taxonomic groups. • Perform network analyses: Construct association, weighted, and multilayer networks
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. The project is led by Heiko Schütt and will employ one PostDoc and one PhD student. About the role... You will develop new Bayesian methods to compare deep neural network and other artificial representations
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of the University of Padua (Italy), implying that the PhD candidate will ultimately move to Padua as well. Ten PhD projects are funded by the European MCSA program, and the network spans over Italy, France, Germany
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real-time data from numerous sub-modules, which demands high computational power and complex communication networks. Decentralization seeks to distribute these tasks across sub-modules, enabling real
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of components of the software systems running on distributed systems, e.g., data centers, grid architectures, sensor networks and other distributed cyber-physical infrastructures. Based on measured energy