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program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
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or machine learning. Excellent programming skills (e.g., MATLAB, Python, or ROS), a strong publication record, and an ability to work collaboratively in multidisciplinary environments are essential. Prior
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academic performance in undergraduate and, where applicable, Master’s coursework Advanced programming skills in R and Python Familiarity with econometric techniques, especially panel data methods Ability
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academic, residential college, and service-learning programs, we?re a diverse community of dedicated students and scholars, athletes and artists, scientists and leaders.In ways both practical and profound
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Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area U of U Health - Academics Department 01337 - Molecular Medicine Program Location Campus City Salt Lake City, UT Type
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for academic dissemination. Be proficient with database management/manipulation, multivariate statistics, and analytic programs including SPSS, Excel, etc. SQL and/or R knowledge preferred. Travel to site visits
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for academic dissemination. Be proficient with database management/manipulation, multivariate statistics, and analytic programs including SPSS, Excel, etc. SQL and/or R knowledge preferred. Travel to site visits
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participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with
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Service A highly competitive package including a medical benefits plan and a gratuity payable upon completion of the term which is normally for two to three years initially, with possibility of extension
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, stakeholder-engaged research, grant writing and management, and other critical skills as identified in their individual development plan. The fellow will receive the mentoring and time needed to advance