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memory, learning, conditioning, neuroscience, computational neural networks, decision-making and/or large language models. Information about Program and College The Department of Psychology is located
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network. He or she will have full access to the various technical resources required to carry out the project. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8520-FRELEF-201/Default.aspx
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well as systems/neural network processes underlying motor control in animals and humans, in both health and neuropsychiatric diseases. This includes: The successful candidate will be part of the Project INF
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new theoretical approaches for understanding stability, generalization, and feature learning in large-scale neural networks. Further details and application instructions are available at: https
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academic degrees in Computer Science and will contribute to the different project networks within IntCDC: https://www.intcdc.uni-stuttgart.de/research/ . The successful candidate will bridge Computer Science
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animal electrophysiology. Familiarity with epilepsy, seizure dynamics, ictogenesis, neuromodulation, or neural network analysis. Experience with small-animal stereotactic surgery, viral-vector
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manipulation experiments, development of diagnosis frameworks (e.g., knowledge-guided machine learning, casual inference, and Bayesian neural networks), evaluation of simulation results (e.g., climate extremes
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-tracking, neuroimaging, non-invasive electrophysiology and computational modelling. We are particularly interested in formal, computational, biologically inspired, generative or neural-network models
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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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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