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pitfalls and sources of bias. This method may generate reliable evidence for underrepresented populations (e.g., older adults, people with multimorbidity, pregnant women). Two secondment placements
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reduction, to fully automatize the workflow at the ILL reflectometers. The integration of the ML module in the data acquisition and data processing ecosystem will enable real-time data analysis and will open
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of the optimised geometries in the anechoic wind tunnels of Institut PPRIME, using source localisation systems based on microphone arrays. UPR 3346, Pprime Institute, is a CNRS unit under a specific agreement with
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.3ds.com/fr/science/meditwin ). Multi-Fidelity Methods: State of the Art and Open Challenges Multi-fidelity (MF) methods exploit correlations between low- and high-fidelity models to reduce the number
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Generation pipelines that combine structured clinical data with unstructured text and external knowledge sources Designing and implementing data structuring and harmonisation pipelines, including semantic
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, Centrale Supelec, Gif-sur-Yvette, France Co-advisor: Frederic LEHMANN, Telecom SudParis, Palaiseau, France Funding: Call for proposals Concours Doctoral Beginning of the thesis: October 1, 2026 Context