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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
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atmospheric sciences • Knowledge of cloud or aerosol physics • Experience in algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a
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9 Feb 2026 Job Information Organisation/Company CNRS Department Sciences et Ingénierie, Matériaux, Procédés Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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French Biodiversity Agency and the Center for Functional and Evolutionary Ecology, focusing on the population dynamics of species exploited by humans with the aim of developing appropriate management
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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
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5000 years as a background to the local reconstructions for target sites. This will be achieved using pollen databases, new pollen cores, and the landscape reconstruction algorithm (REVEALS and LOVE