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algorithms for multimodal representation learning and data fusion tailored to Cultural Heritage imaging; 3) A robust unmixing and pigment-mapping workflow producing interpretable abundance maps, allowing
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. Cleaning, structuring, and annotating the data needed to train and validate AI models. Development of AI modules and alert systems: Development and integration of algorithms for analysis, anomaly detection
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nécessaire de récolter les données issues de bases de données publiques ou commerciales et de mettre au point les algorithmes à l'aide de librairies existantes. Sur la base des ressources préalablement
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17 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Computer science Mathematics » Algorithms
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chemistry, bioinformatics, or a related field §you have mastered molecular modeling techniques, machine learning algorithms, and programming languages like Python §you are highly collaborative, with excellent
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9 Feb 2026 Job Information Organisation/Company CNRS Department Sciences et Ingénierie, Matériaux, Procédés Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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addresses the need for data-driven and hybrid modeling approaches that combine physics-based knowledge with artificial intelligence (AI) algorithms for accurate, interpretable, and robust health state
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algorithms and quantum error correction, ...). He/She will have the opportunity to interact with the partners of the SPINS project in Europe (Delft, IMEC, …). How to apply ? The candidate should send his/her
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learning algorithms. • Adapting the method to multiple faults • Using the method to detect corrupt data, or even threats of attacks and intrusions on networks • Carrying out a proof of concept by
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sustainability issues. In particular, the “Probability/Optimization” group focuses on the theoretical understanding of algorithms used in machine learning, for training large neural networks and tuning