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11 May 2024 Job Information Organisation/Company CNRS Department Dynamique du langage Research Field Language sciences Language sciences » Linguistics Language sciences » Languages Researcher
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resources may be provided by the Jean-Zay supercomputer. Large language models (LLMs) and deep contextual embeddings (i.e., BERT and its variants) are trained on large corpora, usually extracted from various
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comments Requirements: - A master's degree in a relevant field (cognitive science, linguistics, psycholinguistics, neurolinguistics, engineering) - A specialization in speech perception, phonetics/phonology
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(Laboratory of Social and Cognitive Psychology, LAPSCO–UMR UCA-CNRS 6024) is offering a postdoctoral position for 12 months to work on inclusive language and more specifically on eye movements during
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presenting) is mandatory; French language is a plus, but not mandatory. Additional Information Work Location(s) Number of offers available1Company/InstituteCNAM (Conservatoire National des Arts et Métiers
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with many renowned scientists. The working language will be English but some notions of French will be handy in the daily life. Sexual selection is generally thought to apply to all sexually reproducing
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, embedded systems, mechatronics, processes and industrial systems, telecommunications, networks, transport and vehicles, operational safety and security, human-computer interaction, linguistic engineering
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computer science. - Familiarity with biomedical imaging techniques. Language Proficiency: - English: Expert level proficiency in both oral and written communication. - French: Good proficiency level suitable
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scientific programming language (Python and/or Matlab) - Level of scientific and technical English B2 - Liking in test bench set-up and data analysis - Thoroughness, good interpersonal skills at all levels
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Ecole Nationale Supérieure des Mines de Saint Etienne | Saint Etienne, Rhone Alpes | France | 3 months ago
development. The PhD proposal aims to find alternatives to Large Language Models (LLMs), characterized by a high number of trainable parameters and/or a high number of tokens in their training corpus. Using