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to progressively acquire advanced knowledge and professional competencies throughout their studies. For further information, please visit the IUT2 website . Pacte is a mixed research unit (UMR-5194) specializing in
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
DFKI, with a specific focus on the data, alignment, and representation-learning foundations required for robust and generalizable sign-to-text translation. Motivation and context Sign languages
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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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, the ability to analyze the full dataset collected by the experiment will be severely limited. The L2IT is a leader in developing new track reconstruction algorithms using geometric deep learning methods
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. Development and integration of state-of-the-art machine learning techniques in the analysis and event reconstruction will be a major component of this work. - Characterization of silicon detection modules using
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are seeking a candidate holding a Master 2 degree in computational biophysics, structural bioinformatics, or a related field. Knowledge of statistical mechanics and/or machine learning would be an asset
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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