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the Mechanical Engineering department to teach on the engineering degree programme, this covering the core curriculum (first and second years L1, L2) and, potentially, the Master’s programme (M1, M2). He/she will
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 2 months ago
representations (IR) to bridge deep learning frameworks with low-level hardware, ensuring the seamless evolution of existing software infrastructures. Additionally, he will act as a high-level technical expert
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that remain valid despite uncertainties in the drone and camera models. Incorporate air traffic rules and safety requirements into the mathematical optimization framework. - Optimization and Learning: Optimize
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essential for learning complex distributions over structured data such as text, graphs, and biological sequences. Developing and understanding models for dis- crete spaces is therefore a key challenge in
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expected to teach computer science at bachelor’s and master’s level. They are also expected to teach robotics. Additionally, they may contribute to the development of our IT courses. They must be able
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deep learning has led to the emergence of Transformers-type networks whose performance has revolutionized the field. These networks are the basis of next-generation image processing models (such as
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, environment and ecology, transportation, robotics, energy, culture, and artificial intelligence. Presentation of CNRS as an employer: https://www.cnrs.fr/en/cnrs Presentation of IRISA as the host laboratory
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and our Department is available at https://www.essec.edu/en/pages/departement-information-systems-data-analytics-operations/ ESSEC BUSINESS SCHOOL holds the HR Excellence in Research award. As part of
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September 16, 2026 Contact: Paul Dario, [email protected] More information: https://cyagm.cnrs.fr/actualites/recrutement-chaire-de-professeur-junior-probabilites-et-interactions/ Research Profile
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. Applications must include a CV, a cover letter, and transcripts from Master's 1 and 2. Title : Deep-learning for nuclear data in physics for health This PhD project aims to improve the modeling of nuclear