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communication signals on our mental processes. What you will do Build novel deep learning architectures for auditory prediction (speech and/or music) prioritizing explainability and cognitive hierarchies Quantify
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. Internal communication is primarily in English and knowledge of French is not a prerequisite. Special consideration will be given to multidisciplinary research programs integrating into one or more I2BC
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(BE), University Hospital Jena (DE), INSERM (FR), University Utrecht (NL), SciCross (SE), RD –Néphrologie SAS (FR), University of Bern (CH). For more information: https://www.cordis.europa.eu/project/id
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products He/She will be responsible for data processing and scientific dissemination of results (drafting of scientific articles in English and participation in conferences). The successful candidate will
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plus. Fluency in English (project working language). Ability to work both independently and in a team. Work Environment: The position is based at CNRS EMR 3649 / Inserm UMR-S 1124 (Université Paris Cité
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metabolism and oncology. Good command of spoken and written English. Above average motivation, teamwork and independent. Selection process How to apply? Interested candidates can apply by submitting
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(LLM). Main activities The topic of natural language access to knowledge graphs is gaining a growing attention both in top international academic conferences and in international industrial conferences