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Field
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and validated within the PhLAM team. Consequently, only limited effort will be required to acquire the experimental skills needed for this part of the project, allowing the PhD candidate to focus
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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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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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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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, within the framework of its transition to an Inclusive Learning Unit model. The recruited postdoctoral researcher will join the scientific consortium, which includes the "Health, Physical Activity, and
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(at least one per year). Be willing to teach undergraduate classes if offered the option. HéLiCéO will fund field trips for up to 4 months per year, as well as conference trips. Note that fieldwork may
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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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The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, headed by Laura Cantini, works at
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
University (IRMAR). The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and machine learning. Gathering
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and