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research grants. KNOWLEDGE, SKILLS, AND ABILITIES: Comprehensive knowledge of research techniques and ability to understand and utilize scientific/medical terminology and research theory in both oral
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, medication outcomes, health disparities, and social determinants of health. The fellow will apply advanced pharmacoepidemiology methodological and statistical methods as well as longitudinal and multi-level
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is home to multiple research groups, a strong central core facility, and the University of Maryland Medical System within walking distance. -A dedicated bioinformatics and statistical research support
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aims to develop an intersectional, multilevel and multidimensional measure of structural racism. The ideal candidate should possess a strong background in measurement theory and statistics, demonstrating
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Graduate School’s PhD and M.S. in Health Professions Education (HPE). The incumbent will take the lead in the acceleration of the HPE program research enterprise into a future cycle of growth, innovation
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candidate will have a PhD in computational biology, bioinformatics, computer science, or related discipline with a demonstrated ability to analyze and integrate biological systems data using statistical and
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. Qualifications MINIMUM QUALIFICATIONS Doctoral degree in pharmaceutical sciences, statistics, data science, medical or related field. Good experience with artificial intelligence/machine learning methodologies
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/medical terminology and research theory in both oral and written communications. Skill in animal care and handling. Ability to use measurable and verifiable information for making independent decisions