441 computer-science-programming-languages-"FEMTO-ST"-"FEMTO-ST" positions at Columbia University
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desirable. Demonstrated ability in a computer programming language and strong data management and analysis skills are essential. Equal Opportunity Employer / Disability / Veteran Columbia University is
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the Opioid Overdose Prevention Program including conducting training and coordinating the dissemination of naloxone and fentanyl test strip kits. Train student staff in their responsibilities in partnership
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relevant software and programming languages such as R, Python, or Stata, and possess excellent written and oral communication skills. They will provide assistance with data preparation and code development
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CRM. Responsibilities Coordinate the admissions application process and field prospective and applicant inquiries. Advise applicants on admissions requirements and policies, and communicate program
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. Familiarity with the following or similar Scripting languages Windows command line interface Linux/Unix Cloud technology and storage Knowledge of AirWatch or other iOS MDM. SCCM and Microsoft Server 2012/2016
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-to-practice NPs and student NPs via the Columbia University School of Nursing program. Minimum Qualifications Bachelors degree and five years of experience Preferred Qualifications Prior experience in
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milestones and measurement criteria. Responsibilities Oversees and directs a broad range of high-level projects including implementation, and coordination of selected program initiatives; monitors, staffs and
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. 20% - Surgical specimen disposal 5% - Other duties as assigned. Minimum Qualifications Two years of college or a completed A.A. program with an emphasis in chemistry, biology, or physics or a completed
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students working in probability, statistical theory, computational methods, data science, and interdisciplinary domains, supported by a range of centers, including the Applied Statistics Center and the
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in the Social Sciences (QMSS ) MA Program at Columbia University invites applications for adjunct faculty positions to teach courses in Spring 2026, in the broad areas of machine learning, data science