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live in. Your role This is a fully funded position for 12 months in the HEXAPIC project, which is conducted in collaboration with Prof. Leon Kos's team at the University of Ljubljana. The HEXAPIC project
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science, and data management (IoT/Edge/HPC). This is a fully funded position for 24 months in the HEXAPIC project conducted in collaboration with the team of Prof. Leon Kos at University of Ljubljana
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algorithms have been used to solve complex problems. However, these types of strategies, although popular, are heterogeneous or generated according to the needs of the case study. This has generated multiple
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, contributing to the administration and development of the department will be expected, participating in committees and other departmental activities. Contact: Prof. Dr. Francesco Viti: Your profile PhD in
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: - reading and understanding theoretical physics articles, in particular with a view to deriving equivalent computer algorithms - develop and/or adapt a physical modem and/or a Monte Carlo type code in
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, Brésil), avec laquelle nous collaborons depuis 2021. Le doctorant sera inscrit à l'école doctorale SIMPPÉ de l'Université de Lorraine et sera encadré par le Prof. Michel Gradeck (UL - France), Dr Guillaume
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Inria, the French national research institute for the digital sciences | Lille, Nord Pas de Calais | France | 3 months ago
conducted under the co-supervision of Dr. Z.A. Dahi (ISFP, Inria Starting Faculty Position) and Prof. Bilel Derbel. Both supervisors belong to the BONUS research group at the Inria research center of the
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
at that level. In this context, it is also important to consider aspects such as the intepretability and explainability of decisions given the context, as well as to ensure that the algorithmic design permits
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for feedback utilization, focusing on adaptive coding rate adjustments based on SINR and uplink metrics, ensuring efficient and responsive system performance. Machine learning algorithms will be designed
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[Crockett2022], minimizing artifacts and improving clinical reliability. Meta-learning algorithms [Andrychowicz2016] will be implemented to optimize reconstruction efficiency for real-time bedside applications