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• Strong experience with rodent behavior and stereotaxic surgeries • Experience with viral circuit tools (optogenetics and/or DREADDs) • Proficiency in data analysis and statistics (R, SPSS, GraphPad
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) Evaluate the implications of these associations for extraction processes; and 3) Assess the critical mineral resource potential of unconventional wastes through geospatial and statistical analysis of supply
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/ exome sequencing) to address complex biological and translational research questions. Uses state-of-the-art bioinformatical and statistical tools Develops new statistical methods to answer biological
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field assessments; experience in dataset organization, statistical analysis, and/or soil health assessment frameworks; previous publication(s) of scientific paper(s) on soil macrofauna; familiarity with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, Competencies, and Experience Strong programming skills in Python and/or R. Experience analyzing high-dimensional biological data, especially single-cell sequencing data. Strong statistical and quantitative
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. Formulate dose-response metrics, perform advanced statistical data analysis, and visualize biological data for presentation to cross-functional teams. Publishing the obtained results in scientific journals
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-doctoral experience with human-subjects research and manuscript submission. Knowledge, Skills & Abilities: Must have excellent computer skills. Ability to use Microsoft Office suite and statistical programs
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. About the role As Postdoctoral Researcher in Big Data for Cardiovascular Population Health, you will play a key role in applying machine learning, health statistics, and large-scale medical and population
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and for manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific literature as needed. ● Supervise other personnel in the laboratory
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, anatomical, locomotor, and other behavioral data using appropriate computational and statistical methods. 5. Develops and optimizes experimental approaches to identify spared and reorganized supraspinal and