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learning. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7154-SABGAL-060/Default.aspx Requirements Research FieldGeosciencesEducation LevelMaster Degree or equivalent Research
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learning French and settling in France (relocation agency). Eligibility criteria Candidates must submit their application packages via this link: https://docs.google.com/forms/d/e
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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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particle validation; (2) the robustness of learning models, which is strongly dependent on data quality, representativeness and evolution, particularly with the emergence of new ammunition types and lead
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the SPIN Doctoral School (ed-spin.doctorat-bretagne.fr). This thesis is part of the ANR Ant'noid project (https://anr.fr/Projet-ANR-24-CE33-0218 ). Additional Information Applications must be submitted via
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confrontation avec des inventaires de terrain réalisés par le doctorant et des équipes d'experts au niveau européen, ainsi qu'avec des prédictions issues de modèles d'IA (deep learning et grands modèles de
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generative artificial intelligence, machine learning, and ontologies to automatically align heterogeneous competency frameworks. The research will focus on: Formal modelling of competencies and educational
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Context Recent advances in computer vision and generative AI have enabled major breakthroughs in image and video understanding. However, modern deep learning models remain critically dependent
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scientific supervisor. Role: This position offers a strong opportunity to contribute to applied research at the intersection of economics and deep learning. It is research-intensive, requiring a high degree of
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 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