10 Statistics "University of Wisconsin Milwaukee" Postdoctoral positions at University of South Carolina in america
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) developmental science and/or education, (2) engaging in research and a strong track record of publication, (3)statistical background to at least the intermediate level of multiple regression, (4) computer
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/Abilities - Demonstrate excellent communication (oral and written) and organizational skills. - Ability to work as a team and independently. - Able to complete basic data reduction and statistical analyses
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course of a doctoral degree program, plus competence in rodent handling and strong analytical and statistical skills. The candidate is required to conduct research lawfully and ethically by consistently
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course of a doctoral degree program, plus competence in rodent handling and strong analytical and statistical skills. The candidate is required to conduct research lawfully and ethically by consistently
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course of a doctoral degree program, plus competence in rodent handling and strong analytical and statistical skills. The candidate is required to conduct research lawfully and ethically by consistently
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analyzing MRI data Preferred Qualifications · · Expertise with Matlab · Expertise with statistical analyses and data visualization in R and/or SPSS · Expertise with SPM and/or FSL neuroimaging data analysis
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analyzing MRI data Preferred Qualifications · · Expertise with Matlab · Expertise with statistical analyses and data visualization in R and/or SPSS · Expertise with SPM and/or FSL neuroimaging data analysis
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using statistical software. Performs biochemical and molecular assays, including protein visualization by immunohistochemistry and protein quantification by enzyme-linked immunosorbent assays. Essential
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atmospheric or environmental measurements and data analysis (time series, statistical analysis), and geospatial analytics;Programming experience for data analysis and visualization of time series and spatial
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atmospheric or environmental measurements and data analysis (time series, statistical analysis), and geospatial analytics;Programming experience for data analysis and visualization of time series and spatial