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musculoskeletal biology; all of these groups offer regular seminars, journal clubs and social/networking events. Responsibilities: • Planning, execution, analysis, documentation and communication of novel research
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plasticity metrics derived from functional MRI data. Investigate developmental differences in infant brain functional networks Support generation and testing of improvements for code bases for the analysis
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., gene knockdown, qPCR, antigen presentation assays) to dissect pathways of cell death sensing • Conduct transcriptomic and pathway analyses (e.g., RNA-seq) to uncover regulatory networks • Generate
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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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-cell and omics approaches, our methods allow for in-depth exploration of intracellular signaling networks and physical interaction networks in health and diseases. Using these methods, we aim
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to the role of transcription factor mediated networks to direct the fate of stem and iPS cells to a mesodermal fate (i.e. cardiac, endothelial, skeletal muscle); and conducting research in the areas
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collection and in communicating with individuals and groups in a computer networked environment. About the Department The Department of Dermatology is committed to providing excellent patient care, conducting
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the Crane Lab are access to state-of-the-art research facilities and equipment, and networking with established collaborators across UMN colleges and departments (including Dr. Branden Moriarity, Dr. Beau