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) the information in your candidate profile as it will transfer to your application. Job Title: Open Search – All Research Areas – Statistics Department: Arts and Sciences | Statistics Tenure faculty (regardless
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research and experimental designs for citizen engagement research, oversee implementation of survey instruments and other data collection methods. They will develop statistical methodology for IDEA’s
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experience. Minimum of two years of experience in genome-scale sequence analysis, statistics, data management, version control.Experience working with large-scale datasets using Linux/Unix, high-performance
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University (OSU) is currently seeking applicants for tenure-track faculty in biostatistics at the Associate Professor level. Candidates with expertise and interests in population sciences, Bayesian statistics
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) are seeking outstanding applicants for the Post Doctoral Scholar positions. Under the mentorship of Dr. Brian Searle, the Post Doctoral Scholar will develop and apply novel statistical and computational methods
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, descriptive statistics, and regression), (2) writing for publication, and (3) data collection in applied settings, including child care programs, schools, and community settings. The Postdoctoral Scholar should
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to pursue postgraduate training under the guidance of Dr. Sanja Ilic, PhD, Human Nutrition, Department of Human Sciences, and Drs. Melanie Lewis Ivey and Soledad Benitez-Ponce, Department of Plant
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Qualifications: PhD or equivalent research experience, proficient with STATA statistical software; experience working with large research teams; excellent written and verbal communication skills About the Glenn
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capabilities of AI and mapping/statistical software advances. Work on grant applications for research projects and collaborations. Work with Center staff to acquire additional funding. Required Qualifications
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planning as needed. Work Experience Required Four - five years of experience in genome-resolved microbial sequence analysis, statistics, and microbiology/virology; experience working with large-scale