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Description The Language and Cognition team at the Center for Integrative Neuroscience and Cognition (INCC, https://incc-paris.fr/language-and-cognition/ ) at Paris Cité University is inviting applications
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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Description The current project aims to investigate how music rhythm can be used to benefit speech/language processing. Both short-term rhythmic stimulation paradigms (i.e., rhythmic priming), and long-term
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CNRS – Université Paul Valéry), under the supervision of Fabrice Hirsch, Cognition, Language team). They will work in close collaboration with all technical and scientific partners involved in
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-of-the-art brain imaging facilities (two research-dedicated MRI scanners: 1.5T and 3T, hybrid PET-3T MRI, MEG-EEG). The vibrant research community at CRNL and nearby neuroscience institutes (ISC, SBRI, see
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alignment, assembly control and synchronization of components - characterization of the setup performances - preparation of test and biological samples, data acquisition, data analysis - communication (with
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-ecological systems thinking Skills: ■ Curiosity and analytical mind to identify key issues and pathways to impact in order to represent them graphically. ■ Excellent written, digital, and oral communication
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. - Formulation of catalytic ink for electrodes - Strong writing and oral communication skills in English - The candidate (M/F) must demonstrate scientific rigor, initiative, and a strong ability to present and
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structural changes in synapses to transcriptomic regulation Promote scientific results through publications and scientific communications Experimental activities Performing patch-clamp electrophysiological
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Paraguay, including the Cerrado, Chaco, and/or Caatinga is required. Existing contacts with community leaders in those regions are a plus. • Portuguese fluency and an academic fluency in English are