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applications in mathematics (combinatorics, algebras, numerical analysis, stochastic analysis…) and physics (renormalisation theory, string theory…). Recently, some new structures on rooted trees have appear in
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collaboration between the Exa-SofT and the Exa-DI projects and better support multi-linear algebra and tensor contractions in exascale CSE applications and Machine Learning. As part of the collaborative process
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exploring an original idea : introducing dependency between subsystem characterizations to take into account similarities (e.g. algebraic or topological) in their modeling. The goal is to improve the trade
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well as strong skills in linear algebra and signal processing. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR3346-NADMAA-158/Default.aspx Work Location(s) Number of offers
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and signal processing. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR3346-NADMAA-155/Default.aspx Work Location(s) Number of offers available1Company/InstituteInstitut P
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candidate must have a proven experience in numerical simulation in fluid mechanics and/or aeroacoustics, as well as strong skills in linear algebra and signal processing. Website for additional job details
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related field. The candidate must demonstrated experience in numerical simulation in fluid mechanics and/or aeroacoustics; strong expertise in linear algebra and signal processing. Website for additional
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Explainable AI on genomics data The candidate will: - Start by familiarizing with existing research and methods for genome interpretation - Familiarize with the sequencing data and its pre-processing - Study
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Processing Magazine, vol. 35, no. 1, pp. 126– 136, 2018. [8] J. Yu and T. Huang, “Autoslim: Towards one-shot architecture search for channel numbers,” 2019. [Online]. Available: https://arxiv.org/abs