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, implement, and evaluate computational models that assimilate 2-photon data (60%) Use a computer programming language to create novel neural network simulations (models) that include realistic simulations
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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—an essential characteristic for replicating neural network behavior. The position offers a unique opportunity to engage in cutting-edge research at the intersection of quantum materials and advanced electron
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related field – you don’t need to know how to design chips, but must have an interest in learning 3+ years working in Industry or a post doc role Understanding of AI/machine learning, neural networks