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in computational social choice and artificial intelligence The recruited individual will join the 2IA PRAIRIE-PSAI institute and develop research at the intersection of computational social choice and
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intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
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computer vision or artificial intelligence is a plus. • Soft skills: will to learn, autonomy, palatability for project-oriented organization. Additional Information Work Location(s) Number of offers
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Cette thèse s'inscrit dans le champ du génie
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follow the Graduate Program "Mathematics and Applications: Research and Interactions" (https://irmiapp.unistra.fr/training/presentation ). PHD Country: France Where to apply Website https://www.abg.asso.fr
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Montpellier Website https://edcbs2.umontpellier.fr/index.html?language=en&page=home§ion=news Street 163 rue Auguste Broussonnet Postal Code 34000 E-Mail edcbs2@umontpellier.fr Phone 0033467144012 STATUS
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Detection. IEEE Transactions on Emerging Topics in Computational Intelligence, 2(1), 41–50. [10] Nguyen, T. T., Reddi, V. J., & others. (2021). Deep Reinforcement Learning for Cyber Security. IEEE
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, the environment and ecology, transportation, robotics, energy, culture, and artificial intelligence. Overview of the CNRS as an employer: https://www.cnrs.fr/fr/le-cnrs Presentation of IRISA as the host laboratory
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Master's or Engineering degree in systems engineering, computer science, artificial intelligence, modelling, or complex systems. The expected profile combines strong analytical skills, a genuine interest in