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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 18 days ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
science as part of the ERC Starting Grant project Incorwave, which aims to develop advanced numerical and mathematical methods for passive seismic imaging. The research will focus on two key-directions: (1
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Rigorous, organised and methodical Management and leadership skills Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7107-ANIFOR-019/Default.aspx Work Location(s) Number of offers
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 1 month ago
of material deposited, while maintaining the expected accuracy. Part of the activity will also involve implementing Artificial Intelligence (AI) methods similar to computer vision to facilitate this prediction
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, The acquaintance with the spectroscopic methods (UV-VIS, IR, Raman), confocal microscopy, as well as with computer simulation skills is highly desirable. Additional Information Work Location(s) Number of offers
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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management
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Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) | Toulouse, Midi Pyrenees | France | about 2 months ago
Calcul Scientifique) is a private research organization developing advanced methods for the numerical simulation and the algorithmic solution of large scientific and technological problems of interest
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transfer models. Partnerships with industry will facilitate adoption of enhanced heat transfer methods into renewable energy and propulsion technologies. The insights and computational tools developed intend