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. Fieldwork will be funded by the ANR project. In general, the PhD student will adhere to the laboratory's internal regulations. They will be subject to enhanced medical monitoring. They will also undertake in
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Description This PhD will be co-supervised by: • Sylvain Burri (UMR Traces, Toulouse), • Jérôme Buridant (UMR EDYSAN, Amiens), • Raphaël Lachello (LARHRA UMR5190/GRESEC, Grenoble). It will involve a broader
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processing and statistical analysis. The PhD thesis will be supervised by two supervisors, Corentin Louis (Chargé de Recherche CNRS, Observatoire de Paris) and Baptiste Cecconi (Astronome, Observatoire de
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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 The PhD thesis will be funded within the framework
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, GC-MS/MS, and advanced NMR approaches. - **Activity 4:** Multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and reveal the interactions linking
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computational fluid dynamics. • Experience in modeling, uncertainty quantification, or statistical methods. • Experience in data science or machine learning is considered an asset. • Experience with high