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models, whilst respecting the specific spatial structure induced by river networks. - Cleaning, structuring and analysing historical long-term monitoring data (approx. 200 sites). - Adaptation and
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, annotate and analyse metabolomic data using dedicated pipelines (construction of molecular networks, querying spectral databases, in silico annotation, calculation of metabolic diversity indices). Contribute
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Epidemiology of Malaria), led by Aimee Taylor. Using simulation-based inference (SBI) with deep learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum
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to the dissemination of ultra-stable frequency and time references over telecommunication networks. Its optical-fiber network and laser stations also provide an experimental platform for the development of new
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determines observables of the replication program such as the Mean Replication Timing (MRT) and the Replication Fork Directionality (RFD) profiles. We proposed a strategy to train a neural network to infer
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. • Get familiar with existing libraries for working with tensor networks in the Julia programming language (ITensors.jl, Tensor4all.jl, …). • Implement different tensor network topologies (e.g. tree tensor
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. The LEAPS ULTRAFAST network announces the launch of the first call for applications for its prestigious ULTRAFAST postdoctoral program. This postdoctoral fellowship programme is co-funded by
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, Architecture, Arts, Astronomy, Biological sciences, Chemistry, Communication Sciences, Computer science, cultural studies, demography, economics, educational sciences, engineering, environmental science, ethics
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to several publications describing the morphological changes in microalgae in different abiotic and biotic conditions (Uwizeye et al. 2021, PNAS, PMID:34215695; Uwizeye et al. 2020, Nat. Commun, PMID:33594064
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
. Leglaive, L. Girin, X. Alameda-Pineda, and R. Séguier, "A multimodal dynamical variational autoencoder for audiovisual speech representation learning," Neural Networks, 2024. 10. A. Ballou, X. Alameda-Pineda