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within the University of Minnesota within Departments of Psychiatry, Neuroscience and Biomedical Engineering. This is in a joint collaborative partnership on neuroimaging informed neuromodulation in human
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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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, 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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engineer dynamic and reactive DNA probes to expand the sensitivity and coverage of protein post-translational modification assessment and protein-protein interaction analysis. Combined with advanced single
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projects focusing on the role of macrophages and microglia in chronic inflammation or cancer. We utilize genome engineering of induced pluripotent stem cells followed by downstream differentiation