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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance
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of nanodevices and their multiple functionalities for bio-inspired computing. The team includes two permanent CNRS researchers, two Thales researchers, 4 post-docs, and 4 PhD students. Where to apply Website https
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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, experimental facilities, and scientific network of the laboratory. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8213-ZHUCHE-001/Candidater.aspx Requirements Research FieldEngineeringEducation
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scienceYears of Research ExperienceNone Research FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Degree : PhD in computer science, machine learning, or computational
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Required knowledge: - Degree: PhD, Engineering - Continental biogeochemistry - Environment and professional networks - Organization and functioning of higher education and public research - Language: English
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The nuclear fuel cycle consists of front-end steps that prepare uranium
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The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work will focus
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The recruited person will join the
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mechanisms engaged when deciding to transmit information in social networks. - program experiments - behavioral pilots and ethics demand - test participants in fMRI task - behavioral and model-based fMRI