124 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" PhD positions in France
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/Province France City Ecully Website http://www.ec-lyon.fr Street 36, av Guy de Collongue Postal Code 69130 E-Mail benedicte.martin@ec-lyon.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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. Currently available topics, application and more information: https://phdquantumgrenoble.univ-grenoble-alpes.fr/phd-application/available-phd-subjects PhD subjects (full list available via the attached link
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. The list of PhD projects is accessible online: https://www.tec21.fr/phd-tec21 What we offer : 7 fully funded PhD positions with employment contract, competitive salary (monthly estimate net salary between 2
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Mulhouse, France (http://www.is2m.uha.fr/ ) under the direction of Dr Valeriy Luchnikov, a member of the “Wetting and Self Assembly” research group, and Prof Thierry Vandamme, Faculty of Pharmacy of
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Technologies INspiring Young scientists (DESTINY2, https://www.destiny-phd.eu/ ) is opening 24 doctoral positions hosted by universities, research centres, and laboratories in France (17), Spain (3), Germany (1
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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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SAF combustion. Recent advances have demonstrated that machine learning techniques, particularly neural networks, can significantly accelerate chemical kinetics computations. Nevertheless, most of
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, the candidate will help the team on the following tasks and research areas : - improve integration of the framework with learning/inference framework (PyTorch, Keras, AIDGE, ...) - improve implementations of low
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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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, soil, and plants aid in the collection of real-time data directly from the ground. Based on these historical data predictive machine learning (ML) algorithms that can alert even before a problem occurs