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Field
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: Modern machine learning approaches are increasingly exploited to automate and optimize fault detection and classification. We propose to investigate methods that improve diagnostics under under-represented
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anomaly detection using advanced and optimized methods. • Literature review (image processing, deep learning, vision-language models, diffusion models, etc.). • Generative AI for creating reliable models
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leader in the digital world. We are looking for an Assistant/Associate Professor in Video Processing and Animationwith Deep Learning to jointhe Multimedia (MM)teamin the Image, Data, Signal (IDS
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, understanding and predicting their thermal conductivity from first principles calculations is very challenging. In this doctoral research project, we plan to use machine learning potentials to investigate
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for managing smart cities. The team has gained substantial experience in machine learning for road traffic monitoring. They are now keen to thoroughly explore the additional opportunities presented by
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4 Apr 2026 Job Information Organisation/Company UNIVERSITE DE TOULON (VAR) Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4
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4 Apr 2026 Job Information Organisation/Company UNIVERSITE DE TOULON (VAR) Research Field Engineering » Computer engineering Computer science Researcher Profile Recognised Researcher (R2) Leading
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of machine learning / artificial intelligence Knowledge in optics (imaging) will be particularly appreciated. Additional Information Work Location(s) Number of offers available1Company/InstituteInstitut Jean
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Specific Requirements connaissances en programmation par contraintes et apprentissageconstraint programming and machine learning Additional Information Work Location(s) Number of offers available1Company
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Health Prevention: Investigate how LLMs associated with deep learning can be used to identify early signs of mental health disorders by analyzing digital diaries, questionnaires, voices features, physical