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(if applicable), even when attaching a resume. *This posting will close at 12:00 am of the close date. Clery Notice In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act
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facilitating undergraduate research Helps support publications in the lab – provides statistical support to undergraduate and graduate students, supports students with writing papers and posters (proofreading
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to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics
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, including, but not limited to, submission of peer-reviewed articles, training in statistical and qualitative data analyses, dissemination and translation of findings to diverse audiences, and development
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collected during fieldwork. Experience with data analysis using software such as R for statistical analysis, including spatial statistics, 14C calibration, and site pattern recognition. Commitment
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collected during fieldwork. Experience with data analysis using software such as R for statistical analysis, including spatial statistics, 14C calibration, and site pattern recognition. Commitment
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graphing and/or data analysis software (Prism, Origin Pro, Matlab etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis
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graphing and/or data analysis software (Prism, Origin Pro, Matlab etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis
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nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. More information about the group
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 15 days ago
analyses in clinical trial submissions to the U.S. Food and Drug Administration (FDA). The project focuses on developing a structured framework to guide statistical reviewers in evaluating mediation analyses