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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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professions, assessing their susceptibility to automation. The results reveal that highly automatable occupations favor values such as security, conformity, tradition, and power, in contrast to the human
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for chemicals; - Mathematical and informatic tools required for the analysis of the results (knowledge of Python and Image J will be an asset); - Health and safety regulations. He/she shall: - Be
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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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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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-knowledge proofs, secure computation, post-quantum cryptography, the theoretical foundations of cryptography, and its connections with complexity theory. - Research within the Algorithms & Complexity group
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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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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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. - 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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. • Strong expertise in the analysis of experimental space data and signal processing. Technical Skills • Proficiency in a scientific programming language (Python or equivalent). • Knowledge of in situ