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data; tabulate and display data for presentation in research conferences and for manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
) a clinical internship in APA accredited programs Required Qualifications, Competencies, and Experience Experience in quantitative (statistical, mathematical, computational) research with large data
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undergraduate students actively involved in the lab. Qualifications Basic qualifications The applicant applying for the postdoctoral Scholar must have a PhD degree in Electrical or Mechanical Engineering Must
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Statistics, NSF, and the Federal Reserve Board. This is a very specialized task involving advanced research and coding knowledge. A postdoctoral scholar must hold a PhD or equivalent degree. Scholar will
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have a Ph.D in Chemistry with a specialization in Analytical Chemistry, chromatography and/or mass spectrometry, statistical evaluation of data and quantitative method validation, be qualified in
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, ag professionals, and federal/state/local agencies. Required Qualifications: PhD in Civil/Environmental/Agricultural/BioSystems Engineering, Applied Math/Statistics, or related field Prior work at the
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OSUCCC – James, contributing to cross-disciplinary projects and proteomics expertise. Education and Experience Requirements: PhD in biochemistry, analytical chemistry, bioinformatics, or a related field. 5
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of Medicine) and Steve Gorelick (Doerr School of Sustainability), and will work alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or
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Open Date 08/14/2023 Posting Close Date 01/07/2026 Qualifications Minimum Education and Experience PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution
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bi-parental mapping analysis. Machine Learning and Statistical Analysis: Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease