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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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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 This is an international PhD project
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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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. 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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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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legislation, the successful candidate's appointment is subject to authorization by the competent authority of the French Ministry of Higher Education and Research (MESR). Precision nanomedicine requires
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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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for the heliophysics component, and LISN in Orsay for the computer science and natural language processing component. Status meetings every two weeks, alternately at LIRA in Meudon and at LISN in Orsay. The PhD thesis
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' thesis (France) or Masters' thesis if from a foreign university. - Copy of last degree obtained and transcript of records (for M1 & M2 if applicable). • INTERESTED APPLICANTS ARE INVITED TO MAKE THEMSELVES
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and digital layers, and the emergence of weakly observable anomalies make monitoring modern microgrids more difficult. Technological challenge: Traditional microgrid protection and monitoring methods