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of the UMC Utrecht is seeking an enthusiastic and ambitious PhD candidate. In this project, you will focus on developing, validating, and applying fine-grained natural language processing (NLP) and large
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 1 month ago
of the Cluster IA ENACT project (https://cluster-ia-enact.ai/ ) that is funding this PhD thesis. In the chair, she wants to push the research in Natural Language to assist humans in different scenarios
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To achieve the objectives of this PhD project, we will develop a multi-layered methodology that combines advances in robotics, natural language processing (NLP), and knowledge-driven automation. Together
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assistant professor in the group of teaching staff (linguistics, PhD in the humanities, teaching English in professional, business, and institutional contexts); MAIN RESPONSIBILITIES: Conducting supervised
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21 Apr 2026 Job Information Organisation/Company Fondazione Bruno Kessler Research Field Other Researcher Profile Other Profession Positions PhD Positions Application Deadline 15 May 2026 - 23:59
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). LanguagesENGLISHLevelExcellent LanguagesPOLISHLevelMother Tongue Research FieldCommunication sciencesYears of Research ExperienceMore than 10 Additional Information Work Location(s) Number of offers available1Company
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PHD POSITIONS IN CANCER RESEARCH Are you looking for excellent research opportunities for your PhD studies at the forefront of cancer research? The German Cancer Research Center (DKFZ) with its core
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schools (e.g. organizing scientific conferences, supervising student initiatives etc.). LanguagesENGLISHLevelGood LanguagesPOLISHLevelMother Tongue Research FieldLiteratureYears of Research Experience1 - 4
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skills, organisational talent and a solution-oriented approach Proficiency in MS Office Willingness to travel for work Excellent written and spoken English; German would be an advantage PhD Position 4
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within a Research Infrastructure? No Offer Description How we measure and define performance shapes the systems we build. Current Natural Language Processing (NLP) benchmarks often prioritize leaderboard