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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 5 days ago
the two types of curves 5. Theoretical work: study the adaptive estimation of the CFDA methodology [1] according to the model developed for the scalar case in paper [2] Where to apply Website https
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(LLMs), Graph-RAG techniques, and semantic modeling using knowledge graphs. • Ability to follow a scientific approach on data analysis in order to validate hypotheses. • Interest in the practical
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SEVERUS in silico modeling, with emphasis on performance, scalability, and reproducibility. Activities include engineering modular workflows in NEST (and ARBOR, if needed), profiling and optimizing
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of the mean flow). This study aims at contributing to a better control of the risks related to airborne contaminations in indoor environments by improving the modeling of the resuspension phenomenon. Expected
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 11 days ago
. Studying literature Scanning rose flowers at different growth stages Implementing and testing neural shape models Writing research reports Where to apply Website https://jobs.inria.fr/public/classic/en
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/123 Research Project: SMART-CM, Simulation and Advanced Modelling of Thromboembolic Risk The successful candidate will work within the framework of the SMART-CM project, as part of a research training
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of Biostatistics at Brown University is seeking a highly motivated individual for a postdoctoral research associate position interested in developing statistical methods for modeling medical imaging data
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for an Active Ankle Foot Orthosis", Control Engineering Practice, vol. 169, 2026, 106757, doi: https://doi.org/10.1016/j.conengprac.2026.106757 . [4] O. Bey, Y. Amirat, S. Mohammed, "Adaptive Model-Free Control
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Completing the development agreement with objectives in research, teaching and administration Independent research and publication activities in the field of modeling and numerical methods in medical
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GenAI models and agentic architectures in order to improve their innovation processes. It combines qualitative case studies and quantitative surveys to map governance models. Particular attention is paid