54 phd-program-of-statistics-"Multiple"-"Washington-University-in-St" Fellowship positions
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previously been employed in a qualifying post (e.g. research fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a
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, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
science schools (Pharmacy, Nursing, Dentistry, Social Work, Public Health, Medicine) at the University of North Carolina at Chapel Hill and is one of the oldest health science academic programs at Chapel
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The newly established Program for Memory Longevity (PML), led by Attila Losonczy, MD, PhD, in the O’Donnell Brain Institute (OBI) and the Department of Neuroscience at the University of Texas
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presentation, and manuscript preparation as part of a multidisciplinary team. Perform other related duties as assigned. Required Qualifications Doctoral degree, MD or PhD received within the past 3 years
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also: Have a PhD (or be near completion) in forest ecology, environmental science, or a related discipline. Possess experience in designing and implementing field-based research programs. Demonstrate
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minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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and programs aimed at preventing work-related injuries and illnesses, as well as enhancing disability management and return-to-work outcomes. Conducts analyses using appropriate statistical methods