102 machine-learning "https:" "https:" "https:" "https:" positions at Columbia University
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other duties as assigned. Minimum Qualifications Bachelor?s degree and/or its equivalent required. Minimum 2-4 years of related experience in student affairs at the college level. Strong computer and
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and learning at the highest level and to convey the products of its efforts to the world. Connections working at Columbia University More Jobs from This Employer https://main.hercjobs.org/jobs/21770602
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the Department of Music and the Computer Music Center, also offers a course of study in the discipline of sound art which leads to a Master of Fine Art degree in visual arts. And the Program offers undergraduate
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of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world. Connections working at Columbia University More Jobs from This Employer https
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learning at the highest level and to convey the products of its efforts to the world. Connections working at Columbia University More Jobs from This Employer https://main.hercjobs.org/jobs/21773559/clinical
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NPI certifications. Familiarity and proficiency with computer-based programs such as electronic medical records systems, MS Word, MS PowerPoint, and MS Excel. Preferred Qualifications Adult-Gerontology
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Attention to detail, ability to manage time effectively and strong organizational, clinical and decision-making skills. Knowledge of a variety of computer and software applications [Epic, Microsoft office
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learning at the highest level and to convey the products of its efforts to the world. Connections working at Columbia University More Jobs from This Employer https://main.hercjobs.org/jobs/21767527/project
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Qualifications Experience in clinical research Knowledge of a variety of computer and software applications [Microsoft office, REDCap, electronic data entry systems i.e. Medidata]. Excellent writing, communication
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. The Department boasts strong research profiles in clinical trial design, survival analysis, nonparametric and semi-parametric statistics, precision medicine, causal inference, machine learning, functional data