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generated by our collaborators; ensure timely delivery to meet network/dynamic modeling needs. 1. Tissue phenotyping: histology on paraffin sections of intestine and distant tissues at different stages
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of the time could be used to check and update the GRAVITY and MATISSE noise models. The application to real data will imply data processing of VLTI and ERIS data Specific Requirements Required skills
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Centrale Lyon Innovation - Ecole Centrale de Lyon | Saint Etienne, Rhone Alpes | France | 4 days ago
of networks (sewers, communications) correspond to a network of existing infrastructures to be developed, maintained and rehabilitated, in particular with regard to extreme stress conditions (fires) in
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all stages (data ingestion, preprocessing, model training, deployment), Explore ML-based automation for security checks and adversarial testing, Validate proposed solutions through industrial case
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to fit Ca profiles in olivine and calculate associated cooling rates, 2/ an analysis of uncertainty propagation for these models, and 3/ a global unified database of existing data that could be used
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 2 months ago
physiological and neural recordings (EEG, fNIRS, ECG, blood pressure, and PPG) with advanced signal processing, mathematical modeling, and artificial intelligence. This project aims to provide new insights
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Operations (MLOps) has become essential to managing the lifecycle of machine learning (ML) models, enabling continuous delivery, automation, and reproducibility. However, the rapid adoption of MLOps has
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Operations (MLOps) has become essential to managing the lifecycle of machine learning (ML) models, enabling continuous delivery, automation, and reproducibility. However, the rapid adoption of MLOps has
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within the ATHENA project. Generative models will be guided by a fit assessment using communication developed by other partners between the generation models (usually in the form of a graph or a string
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: The molecular pathways underlying the progression of chronic kidney disease (CKD), a major global health challenge, are still poorly defined. Our recent works in experimental mouse models suggests that the Hippo