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at elucidating the neural mechanisms underlying behavioral flexibility during decision-making. The study will focus on rodents and will seek to understand how internal states, such as stress, modulate the activity
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on food craving and health-related decision-making. To this purpose, we will use a combination of brain imaging, behavioral measures, and machine-learning techniques. Activities The successful candidate
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of research outcomes in support of decision-making, public policy development, as well as cultural and educational initiatives. The PhD project will take place within the thematic group “Risks: From Hazard
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research in information and digital technologies (computer science, automation, robotics, artificial intelligence), with the aim of developing methods for representation, analysis, and control of complex
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communications. The team specializes in multi-sensor methods, tensor decompositions and component analysis for the joint processing of multimodal data, notably in the context of invasive (intracardiac electrograms
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SICAL team at LIRIS, recognised for its expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. They will
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project provided essential information that fed into the projections compiled by the IPCC in its 6th Assessment Report (AR6). The design of the new exercise, ISMIP7, has just begun and will be a decisive
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, Applied Mathematics, or a related field. Strong foundation in computational modelling & numerical simulations The laboratory The Decision and Bayesian Computation (DBC) – Epiméthée (EPI) laboratory