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to characterize the brain network interactions using connectivity and graph theory metrics. Develop reproducible computational pipelines in MATLAB, Python, R, or similar platforms for electrophysiology processing
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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pharmacoepidemiology and healthcare analytics experience (Medicaid, Medicare, commercial, and EHR populations). Proficiency in R, Python, and SQL. City: New Brunswick State: NJ Location: Rutgers University - New
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biological or genomic datasets. Proficiency in programming languages commonly used in scientific computing (e.g., R, Python, Linux/Unix environment). Excellent analytical, written, and verbal communication
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for electrophysiology, imaging, and behavioral data analysis using Python, MATLAB, ImageJ/FIJI, DeepLabCut, or related tools. Maintains accurate records of experimentation, animal procedures, data analysis, and research
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research in urban settings is also preferred. Experience with R, Python, and/or GIS software (e.g., ArcGIS or QGIS) is highly desirable. Equipment Utilized Physical Demands and Work Environment Overview
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field is required. Proficiency with programming and data analysis using at least one of MATLAB, Python, or R is required. City: Piscataway State: NJ Physical Demands and Work Environment: PHYSICALDEMANDS
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. Proficiency in R (+SAS or Python a plus), and experience working with quantitative data analysis and comprehensive understanding of statistical concepts and methods are essential. Certifications/Licenses
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analytical research on cell-type specific human brain development, and neurological diseases. The project will involve bioinformatic analyses of large datasets with Python and R programming languages. It is
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populations). Proficiency in R, Python, and SQL. Certifications/Licenses Required Knowledge, Skills, and Abilities Leadership role on funded grant(s). Preferred Qualifications Experience with EHR data such as