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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Applications are invited for a full-time PhD position (36 months
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technologies generate large volumes of heterogeneous data and often require advanced technical expertise to operate, configure, and interpret. This PhD project will explore how Large Language Models, Natural
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, for environmental remediation. The aim of this PhD project is to develop functionalised materials capable of detecting targeted organic molecules: aldehydes in the air, PFAS in water, or even chemical submission
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conditions, and at the solid-liquid interface. Funded by the Mission for Transversal and Interdisciplinary Initiatives (MITI) of the CNRS, this PhD project aims to quantitatively characterize photo-excited
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for ambitious PhD research, with rigorous scientific supervision. The PhD student will join the transverse SiC research axis, which is highly dynamic and internationally recognized. He/She will benefit from a
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engineering of controlled cellular microenvironments. The PhD will be conducted in a highly interdisciplinary environment at the interface of soft matter science, biomaterials engineering, microfabrication
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through the EU 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 project will be carried out in
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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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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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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