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of proof assistant technology capable of understanding the dynamical linguistic structures found in current high-level mathematical texts. The project includes the study of interpretation mechanisms
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presentation techniques - English language: B2 - Russian language: B2 - Ukrainian language: C1 - Ability to develop data collection tools (questionnaires, interviews, case studies, field observations, monographs
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numerical modeling of continuous media and a programming language. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3346-NADMAA-147/Candidater.aspx Requirements Research
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with both the CNRS and UGA, organized into five research teams conducting work in cognitive science (Body and Space, Development and Learning, Language, Consciousness, Memory & Metacognition, Vision
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Requirement:: -Master in organic chemistry -Lab experience -Language: French and English Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UPR2301-LUCNEU-012/Default.aspx Work Location
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that are transforming many sectors today through language models, recommendation systems and advanced technologies. However, modern machine learning models, such as neural networks and ensemble models, remain largely
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and molecular biology. Prior experience with moss-related techniques, live confocal imaging, or single-cell RNA-seq is a plus. The working language of both the laboratory and the team is English
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knowledge of an interpreted language (Python, R, etc.), the knowledge of Netcdf format would be a plus, writing scientific articles (at least one publication as 1st author in a peer-reviewed journal
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neuroscience institutes (ISC, SBRI, see LABEX CORTEX) provides many opportunities for discussions and training, including regular seminars and different journal and method clubs. English is the working language
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proficiency with at least one programming language (Perl or Python preferred). Skills in molecular phylogeny are a plus. Other required skills: English (written and oral). Good presentation and communication