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particular the hypothesis that the models applied to convert ALS measurements into above-ground biomass are transferable to all Central African forest landscapes, and the hypothesis that the BIOMASS satellite
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-frequency signals, which largely come from thermal variations at the ocean floor related to the circulation of water masses. 2. Apply fine physical models in order to better understand, characterize and
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dozen input variables). The foreseen approach would be to build on recent developments in using CNNs for Species Distribution Models (e.g. Deneu et al 2021, Morand et al 2024) to summarise the complex
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Pythéas. Its objectives are to better understand the ocean system and its evolution in response to global change. It constitutes a center of expertise in biology, ecology, biodiversity, microbiology
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to the comprehensive analysis of field samples and the mathematical modeling of cellular interactions. LPHI includes four teams working on parasite models (Toxoplasma and Plasmodium), thus offering a stimulating working
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quality of life, located in the southwest of France, close to the Pyrenees, Spain, and the Mediterranean Sea. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5549-BENCOT-008/Candidater.aspx
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for the study of GPCRs and ion channels. The institute is located in the beautiful city of Montpellier, in the south of France, near the Mediterranean Sea. Where to apply Website https://emploi.cnrs.fr/Candidat
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Deep learning models, and in particular large language
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trophic (phytoplankton growth and loss) variables of the Thau lagoon and the Mediterranean Sea (Station 00SETE) in an innovative way using in situ data from high-frequency automated sensors; 2) linking
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transient motions at the top of Earth's core. The benchmark will be the subject of an international call to candidate models. It will lead to an evaluation of the various methods when applied to synthetic