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metazoans by combining deep learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability
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reflects situated positions. The PhD is funded by the ERC CoG PANDORA (Deep Multimodal Learning for Mining and Generation of Arguments). Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will be responsible for applying our deep-learning-based
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, denoising, and fusion, using vegetation samples or scenes. The student can build upon the team's previous work which uses deep learning for image fusion or employs hybrid fusion methods combining
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Information Additional comments Candidate Profile and Required Skills: Background in AI: Strong academic background or training in artificial intelligence and machine learning / deep learning. Technical
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missions operated by LATMOS. The postdoc will employ deep learning approaches using satellite data and ground stations. -Understanding the infrared data from the IASI mission and identifying the
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, ROOT, etc.) •English proficiency (written and spoken) is required. •Experience with deep-learning techniques and libraries welcome. •Past experience in neutrino oscillation and/or LAr TPC experiment
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Gif-sur-Yvette, develops both theoretical and applied methodologies in Data and Image Analysis, Computational Imaging, Statistical Learning, Uncertainty Quantification, Robust Estimation, and Deep
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-doctoral researchers, visiting researchers, master's students, etc.) Research Context Recent advances in mobile robotics have been driven by remarkable progress in perception, deep learning, and control
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phage proteins. To do this, they will begin by benchmarking recent deep-learning tools (such as AlphaFold or ESMFold) to predict structures of phage protein complexes, first at small scale, then for