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7 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire de Langues & Civilisations à Tradition Orale Research Field Language sciences Language sciences » Linguistics Language
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of natural language texts. This PhD position aims at investigating new computational methods to reduce distortions in science communication. The envisioned methodology will focus on Argument Mining with a
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, modeling, and evaluation of proactive tactile communication from robots to humans. While touch is a fundamental channel in human–human interaction, its use in human–robot interaction remains limited and
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research unit in computer science and information technologies in France. ICI is one of ETIS's four multi-PI groups and is specialized in signal processing, information theory and wireless communications
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research environment involving several PhD students and postdocs, and strong regional and international connections, with collaborations with the University of Geneva and CERN. Terms of Employment
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Additional Information Eligibility criteria The researcher should have the following skills: - demonstrate excellent teamwork and communication skills, - be strongly motivated to conduct high-impact applied
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following skills: - demonstrate excellent teamwork and communication skills, - be strongly motivated for high-impact applied research, - a high degree of autonomy and creativity in problem-solving, - openness
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Additional Information Eligibility criteria The researcher should have the following skills: - demonstrate excellent teamwork and communication abilities, - be strongly motivated for high-impact applied
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the following skills: - demonstrate excellent teamwork and communication skills, - be strongly motivated for high-impact applied research, - a high degree of autonomy and creativity in problem-solving
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of internal reports, articles, patents, and communications. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5635-DAMVOI-021/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD