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into the public eye, highlighting its growing importance in the space domain: satellite network security has become a critical issue, as their compromise can have significant repercussions on our daily lives as
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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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the SOFA framework to model the larva’s body dynamics. Create a mesh model of the larva with the main organs required for simulation and develop plugins to control muscle and body properties. Modelling
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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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everyday life applications. More and more, we depend on neural networks to make even critical situations, such as control and motion planning for autonomous cars, and it is of primary importance to be able
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interact within networked environments. This research envisions extending the SID registry as a global service for IoT schema management, leveraging its compactness and efficiency to bridge the gaps between
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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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to the cellular and tissue level” is hiring 11 Doctorate Candidates to be funded by the Marie Sklodowska-Curie Actions (MSCA) Doctoral Networks. TeraIBs is a highly interdisciplinary and intersectoral Doctoral
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/10.1016/j.cviu.2024.104275 [2] Ikram Kourbane, Panagiotis Papadakis, Mihai Andries, Optimized Assessment of Physical Rehabilitation Exercises using Spatiotemporal, Sequential Graph-Convolutional Networks