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), the CLLE laboratory is recruiting a postdoctoral researcher in quantitative syntax and corpus linguistics Scientific background One of the aims of current work in quantitative and experimental syntax is to
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) project "Oc/Oïl : textes, identité et contact de langues aux confins gallo-romans" (Oc/Oïl: texts, identity and language contact on the Gallo-Romance borders), the Language Science researcher will play
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the Carnot Cognition Institute (Reference: ICC/2023/0076). As part of this project, the person recruited (M/F) will have the opportunity to use various tools for analyzing cognitive and linguistic abilities
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imaging modalities. Technical skills: Python, Java, C++, AI libraries (Tensorflow, PyTorch) Written and oral synthesis skills Language skills: English (read, written, spoken), French language desired
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post-processing and visualisation. Proficiency in at least one programming language. In addition, preference will be given to candidates who have: - experience in developing parallel numerical codes
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of selective adsorption of pollutants. In order to develop the skills needed to become an accomplished researcher, complementary training will be offered to the fellows: language courses (English, French) and
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of the statistical software R, and at least basic knowledge in one other programming language (Python, …) and database management system.• Experience with real, multivariate data analysis and biological data would be
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French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas | France | about 14 hours ago
based on the most recent deep learning approaches that train language models using few or no training examples by transfer learning or exploiting existing structured information, i.e. knowledge bases and
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graph theory, how language, memory, and executive functions interact depending on the neurodegenerative pathology. The recruited individual (M/F) is expected to present the study results to project
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French National Institute for Agriculture, Food, and Environment (INRAE) | France | about 14 hours ago
analysis.•Computational skills: R (preferred) or any other language suitable for data analysis.•Curiosity, Creativity and Autonomy.•Critical and independent mind.•Self-driven personality able to work both