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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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horizontal and vertical direction of the latter. The work will focus on: • Amelioration of instrumentation and automatization of the existent setup aimed at better controlling of the temperature
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capable of automatically selecting the simulation strategy best suited to a given prediction objective, while optimizing the trade-off between accuracy and computational cost. The work will build on multi
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methodological comparison between mechanistic vector control models and macroscopic SIR-type models calibrated on serological survey data. Currently, risk indicators (e.g., R₀ estimation) derived from mosquito
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, visiting researchers, master's students, etc.) Research Context Recent advances in mobile robotics have been driven by remarkable progress in perception, deep learning, and control. However, current robotic
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of the professional environment: - Organization and functioning of higher education and public research; Operational skills: - Write reports or technical documents; - Use the computer tools necessary for the control
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project
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biological mechanisms that control it remain largely unknown. The aim of this PhD project will be to understand how changes in pressure drive this extremely rapid three-dimensional reconfiguration of a tissue
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the influence of activation conditions on the formation and properties of polymer networks, and to compare different cross-linking technologies under controlled experimental conditions. Particular attention will
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: automating information extraction from unstructured data, proposing a common representation of multi-source data, developing data fusion and knowledge enrichment methods, automatically detecting anomalies, and