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computational aspects of the project. The project is part of an ambitious research program aimed at understanding the neural mechanisms underlying behavioral flexibility and decision-making. We seek to decipher
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/decision models, but anchor them in real-world biodiversity systems and economic trade-offs. Conservation faces a fundamental tension: we must decide how best to allocate limited resources—should we protect
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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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for such applications. To respond to these challenges, this project aims to investigate automated decision making based on machine learning. The candidate (H/F) will propose and validate centralized as
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opaque, hence their qualification as black boxes. This opacity undermines user trust and proves problematic in critical domains (health, finance, security) where errors can have serious consequences
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 2 months ago
operations. In general,, decision-taking models can be integrated in two ways: - In an open-loop fashion, by triggering alerts that are processed by human operators who make the actual decisions; - Or in a
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and memorial sites are that the visitor feels at the center of the exhibition and can actively make decisions. Unlike a traditional visit, MR enables non-linear storytelling. Wickens (1992) emphasized
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collaborative projects of medium or long duration, during which they learn to manage a project by coordinating activities, distributing work, and making collective decisions. Students generally rely on shared
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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