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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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energy materials—and is equipped with state-of-the-art research facilities. Embedded in a dynamic network of industrial and academic collaborations, SIMaP provides an ideal environment for ambitious
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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• Participation in the international Long-Term Ecological Research network or a similar ecological research network • Experience working with spore-forming Firmicutes (bacilli) and/or Actinomycetes (culture
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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and publications in scientific journals. The PhD student's participation in events organised by international networks such as GeoMIP will be encouraged by the supervisors. Any other opportunities
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analysis) to compare brain responses with predictions of computational models (deep neural networks developed by the NASCE team). The objectives include assessing how the brain segments, groups
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges