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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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this testbed within the lidar development team at LATMOS. This experimental platform will be central to the technical maturation of MADWIL and will directly inform ESA's decision-making for the ZefERO mission
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of the principia genre, demonstrating the methodological and historiographical impact of the database on the study of late-medieval university practices. Finally, the position involves a decisive contribution to the
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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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materials considered - The determination of kinetics based on operating parameters - The execution and improvement of experiments and the analysis of results - Participation in writing articles and patents
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are inherently known as “soft “reasoners under zero-shot and few-shot settings, have allowed impressive improvements over a large set of language and decision-making tasks. However, they still suffer from critical
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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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/ climate, risk engineering, data & AI (modelling, simulation, decision support), GIS and spatial analysis, analytical chemistry or toxicology, risk economics / management, law & governance, regulation
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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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. Explainable Artificial Intelligence (XAI) has thus emerged to develop methods for explaining AI decisions. However, popular agnostic approaches suffer from major limitations: instability of explanations in