204 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Columbia University in United States
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these goals. The position can be viewed as stepping-stone to further education, with previous incumbents having continued to top PhD programs. The position will allow for the incumbent to develop a research
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training programs, and provide strategic leadership on compliance with the University's Policy & Procedures. The position also includes oversight of the Director of the Student Anti- Discrimination and
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and delivering training programs and providing strategic leadership on compliance with the University's Policy & Procedures as well as compliance with ADEA, Section 504, ADA, and other applicable local
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and CTO Program Manager. At CUIMC, we are leaders in teaching, research, and patient care and are proud of the service and support we provide to our community. We apply the same rigor in our commitment
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and policies and share essential and timely information with students from the University. Through our programs, services, and partnerships, we support students? educational enrichment during their time
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and undergraduate programs. The incumbent is the key student-facing officer in the Department, facilitates and helps drive the Academic and Student Affairs Team, and is responsible for promoting
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Assistant (one month) will ensure participant compliance with study procedures. Under the direction of the PI and Program Coordinator, perform research-related administrative support tasks, including research
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funding. KEY RESPONSIBILITIES A full-time Staff Associaate (Data Analyst II) for Molecular Medicine Learning Healthcare Program is needed to work under limited supervision of the Principal Investigators
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. Hiring Salary Range: $305,000 to $425,000 Associate Professor at CUMC: $305,000 to $370,000 Professor at CUMC: $315,000 to $425,000 The compensation range does not include the generous benefits program
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of psychiatric epidemiology and dimensional approaches to mental health measurement - Expertise in longitudinal data analysis and advanced statistical methods - Proficiency in statistical programming (R, SAS