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Field
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, or roundabout navigation will be considered. In this work, we also aim to explore the use of machine learning approaches [1][2] to personalize the driving system according to individual driver preferences
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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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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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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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Grenoble Alpes (UGA). It trains future primary and secondary school teachers, as well as future senior education advisers (conseillers principaux d'éducation, CPEs) (https://inspe.univ-grenoble-alpes.fr