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plasticity metrics derived from functional MRI data. Investigate developmental differences in brain functional networks Support generation and testing of improvements for code bases for the analysis
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host interactions through network analysis, machine learning. - Ability to map microbial genes to biochemical pathway analysis - Excellence in research, communication and collaboration skills, as
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between neuromodulation and fMRI. The postdoc will work on the network level perturbation of neurocircuits using high-definition neuromodulation. This postdoc will lead scientific discovery in developing
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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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Record of scholarly publication Strong quantitative analysis skills, with a minimum of 3 years of statistical programming experience with R, Stata, and/or SAS Excellent English language written, verbal
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structure and function, including experience with gene expression analysis • Hands-on experience with mouse models of inflammation, neurodegeneration, or retinal degeneration • Strong written and verbal
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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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generation • Experience with RNA-seq data analysis • Strong written and verbal communication skills, demonstrated through peer-reviewed publications and conference presentations Preferred Qualifications
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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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experiments pertaining 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