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of extensive-form games. These studies highlighted the effectiveness of combining tools from graph theory, mathematical programming, and dynamic programming to compute pure Nash equilibria in extensive-form
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on psychological motivation theories and can take various forms, such as game mechanics like competition, progression, or sharing of performances, motivational messages, and interactive visualisations of indicators
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Eligibility criteria *The candidate will be entrusted with key responsibilities: The Postdoc will apply data-driven techniques like autoencoders to extract coherent structures from DNS data. Symbolic regression
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species interactions, ecological responses, and future conditions). EcoDisco aims to fill this gap by developing a dynamic, discounting-based framework that: ● embeds economic discounting theory
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- evolutionary theories ● Interpretation and formatting of the results obtained (publications) ● Proficiency in programming languages (Bash, Python, R), code management tools and software environments (Gitlab
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arguments. .Computational argumentation (CA) is a sub-field of AI that studies argumentation theory, namely the theoretical foundations and applications leading to developments including logics
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of the Khovanov–Seidel representation in new cases, using Garside-type approaches. Developing extensions of Garside theory to the case of infinitely many atoms may also be of interest and will rely on the study of
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studies, and/or video games Personal Qualities • Ability to work in an interdisciplinary team • Autonomy, rigor, and scientific curiosity • Creativity and initiative • Strong communication skills Education
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candidate will join the SIGNAL team under the supervision of Dr. Yoan Coudert. Research topic : The recruited postdoc will investigate the genetic mechanisms underlying the pre-patterning and development at a
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, technicians, and staff. Each year, many undergraduate and graduate students, PhD candidates, postdocs, and visiting scientists join its activities. Research at LPS covers a broad range of condensed matter