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. This PhD project in Natural Language Processing aims to design generative models capable of automatically simplifying texts into Easy-to-Read and Understand language while preserving their discourse
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, hot spots may develop due to the poor heat removal capability of the vapor. Objectives and Methodological Approach The PhD project is based on a combined approach, integrating experimental
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The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
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this thesis is part of the European doctoral network REFFACTEUR, the 36-month period will be divided as follows: - Months 1 to 9 (9 months): the PhD student will first work mainly in Saint-Aulaye
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), within the ATLAS group. The PhD student will join a large-scale international collaboration and participate in the activities of the ATLAS experiment at CERN. The work will focus on the analysis of data
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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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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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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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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