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Field
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multidisciplinary environment. The working language is English. PhD required in: Movement Sciences, Cognitive Sciences, Neurosciences, Psychology Research FieldNeurosciences Additional Information Selection process
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(known as GQL; version 1 to be published in 2024), following the example of SQL that became the language to use for relational databases about 35 years ago. In this scenario, the biggest debate is whether
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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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to sustainable finance, green finance or climate finance, for instance the Grande Ecole Program, the MSc in Finance, the MSc in Banking, Capital Markets and Financial Technology, the Apprenticeship program in
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at the intersection of digital technologies and sustainable development. The PhD proposal aims to find alternatives to Large Language Models (LLMs), characterized by a high number of trainable parameters
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have undergone successful testing at CERN in recent years. This technology enables detailed reconstruction of neutrino interactions within the detectors. Additionally, LAPP is involved in the development
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RESEARCHER PROFILE: PhD/ R1: First stage Researcher RESEARCH FIELD(S)1: Mathematics / Computer science / Engineering MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Medical sciences, Information sciences
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-internship-phd-generative-ai-llms-for-… Work Location(s) Number of offers available1Company/InstituteInria RennesCountryFranceCityINRIA/IRISA, University of Rennes Where to apply Website https://www.diverse
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multidisciplinary environment. The working language is English. PhD required in: Movement Sciences, Cognitive Sciences, Neurosciences, Psychology Research FieldPsychological sciences Additional Information Work
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required Profile: Engineering degree in Physics, Materials Sciences, Optics or a related field. A PhD would be an asset. 3 years minimum of experience in one or more of the following areas: thin film