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Field
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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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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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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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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
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algorithmes développés viseront l'extensibilité sur grands ensembles de données via l'adaptativité sans réglage manuel, et seront accompagnés de garanties théoriques vérifiables. L'objectif est d'établir un
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for Artificial Intelligence. The position aims to strengthen methodological and algorithmic work on one or more of the following axes: Optimization and learning on very large models and datasets, improving
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-Computer Interaction, Software Engineering, Computational Sciences, or a in a similar field Strong foundation in programming, algorithms, and experimental or applied research in a technical domain and
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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
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in neuromorphic vision and algorithm–hardware co-design. Prior work includes the design of dedicated neuromorphic architectures for efficient SNN execution Abderrahmane et al. (2022), as