The Cheng Lab is highly dynamic and uses diverse computational modeling approaches including biological neural networks, cognitive modeling, and machine learning to investigate learning and memory in humans and animals. The successful applicant (m,f,x) will work on a collaborative project within the Collaborative Research Center “Extinction Learning” SFB 1280, together with experimentalists. * Analyze learning dynamics in behavioral, neural, and psychophysiological data, which will be collected by other projects within the SFB 1280 * Compare the learning dynamics between individuals, species, learning phases and learning paradigms * Develop algorithms to analyze the learning dynamics * Develop and study computational models of learning dynamics * Excellent programming skills (e.g., Python, C/C++, Matlab) Mitarbeitervorteile
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