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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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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
production (solar, wind) defines new challenges in the management of energy production and transport systems, as well as in the functioning of electricity markets. Currently, these markets are operated
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of Humanities, Education and Social Science at the University of Luxembourg. The xCIT research group has developed a comprehensive suite of software tools for developing and deploying online studies as
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-et-fluides-… This work will be carried out as part of the European ERC 'CohPa' project, as part of a collaboration between the d'Alembert laboratory in Paris, the birthplace of the Basilisk software
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constructively towards collectively defined research goals together with colleagues and collaborators Contribute to the teaching activities at the University of Luxembourg For further information, please contact
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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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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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effectively and systematically. There are some works that have addressed the definition of modules that can be re-used and composed to build specifications that are more complex. In [2], the authors defined a
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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