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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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-month postdoctoral contract focusing on data processing and the retrieval of information on aerosol heterogeneity from photometric observations made by the AERONET network. This position is part of a
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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance
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has a strong societal impact ambition and requires particular care to protect intellectual property, while maintaining a collaborative research approach within a network involving other academic and
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of these activities has led to support from several European, national, and regional projects, with current involvement in 1 Horizon Europe Doctoral Network, 2 regional projects, as well as the PEPR “Spintronics
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) methods. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5253-MOUBEN-002/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldChemistryEducation
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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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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
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variant of the oxygen-evolving enzyme PSII and proteins involved in the sulfur metabolism are expressed together. Our aim is to identify the network of proteins that allowed organisms to evolve oxygenic
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on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and biomechanical variables