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appointment will be for one year; funding is available for yearly reappointment contingent upon satisfactory performance. Minimum Education Required PhD in Health Psychology or related discipline. Required
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. or equivalent with background in psychology, neuroscience, computer science, engineering or related fields. At least 2 years of prior technical experience, which could include graduate school. Masters or PhD
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management, and facility set up; analyzes, models, and interprets literature and experimental results utilizing statistical or machine learning models as appropriate; assists in preparation of research
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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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college features 20 clinical departments, eight basic science departments and an outstanding School of Health and Rehabilitation Sciences offering undergraduate, masters and PhD programs. Duties and
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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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, 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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) 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