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Institute for Brain Research at MIT, conducts multidisciplinary research on the neural basis of cognition in humans and animal models — spanning the fields of systems, computational, and cognitive
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unsupervised learning. These methods will be based on new classes of partial differential equations on graphs and new graph neural network models based on diffusion processes. The developed algorithms will be
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with deep-learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum, the deadliest malaria parasite species (read [1] to learn more about the ideas behind
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, from genes and molecules to brain networks and psychosocial systems”, PN-IV-P6-6.1-CoEx-2024-0139, part-time / full-time, in accordance with the project funding contract and the activity implementation
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to brain networks and psychosocial systems”, PN-IV-P6-6.1-CoEx-2024-0139. Where to apply E-mail [email protected] Requirements Research FieldAllEducation LevelMaster Degree or equivalent Skills
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of neural dynamics and networks, consciousness neuroscience, cross-species neuroimaging, whole-brain computational modelling, and NeuroAI, working with extensive in vivo databases combining whole-brain
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 8 days ago
. Results will be published in first rank venues in AI, databases. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10571 Requirements LanguagesFRENCHLevelBasic
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power systems, network analysis and power flow; - Experience or academic background in machine learning, Graph Neural Networks (GNN)/Grid Foundation Models and/or probabilistic methods and Monte Carlo
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
seek outstanding candidates in each of the following areas: (1) Human Neuroscience of Substance Use Disorders. We seek candidates conducting human-subjects research focused on the neural mechanisms
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identification to characterize neural dynamics, closed-loop network behavior, and state transitions during sleep and seizure events. Real-Time Control & Optimization: Design, implement, and refine real-time