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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project is part of a collaborative project funded by the French National
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, robotics. Degree, education, and qualifications • Degree: PhD • Field of study: Robotics / Mechatronics / Control Engineerin LanguagesFRENCHLevelGood Research FieldEngineering » Computer engineering
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About PhD@Tec21 : The Marie Skłodowska-Curie Cofund doctoral programme PhD@Tec21 is dedicated to training the next generation of experts in mechanical and chemical engineering. The programme targets
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the Job related to staff position within a Research Infrastructure? No Offer Description The MuSkLE-PhD programme aims to train 55 doctoral fellows, providing interdisciplinary expertise
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other labs will be developed for comparison with other techniques and computer IRIS Lab for analyses of the 3D mapping by IA models References [1] A. Kiełbasa, K. Kowalczyk, K. Chajec-Gierczak, J. Bała
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Infrastructure? No Offer Description About PhD@Tec21 : The Marie Skłodowska-Curie Cofund doctoral programme PhD@Tec21 is dedicated to training the next generation of experts in mechanical and chemical engineering
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accompanied by theoretical analysis and by computer simulation. The application (including a CV, a recommendation letter from the master thesis supervisor, and university examination results) has to be made
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month 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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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months 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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preparation platform, SSMIM - Resources provided (equipment, IT, etc.): Computer workstation, binocular magnifying glass, analytical equipment (IRMS mass spectrometer) Where to apply Website https