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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
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certification required upon start date: ANCC Board Certification Current NYS RN and NP Licenses BLS Certification NYS DEA Certification Minimum computer skills: Intermediate to advanced level MS Office skills
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partners. Must have excellent time management, computer, and communication skills. Ability to thrive in a fast-paced environment. Highly skilled in Microsoft Office, particularly Excel; must be comfortable
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& opportunities, and program updates) Responsible for onboarding of all new student leaders Develop professional development opportunities for student leaders Facilitate purchasing and food orders for student
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and independently funded research program in metabolic biology, supervising and mentoring students with diverse background. Successful candidates will be expected to participate in the teaching and
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biostatistical analysis, and post-processing analyses for computer disease simulation modeling. The focus of these mathematical models is to simulate masses that can represent benign or cancerous lesions, using a
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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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to neuroimaging, computational approaches, AI, patient studies, psychophysiology and/or individual differences will all be considered. It is expected that the candidates will develop a vigorous independent research
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globally. Housed in the Heilbrunn Department of Population and Family Health, Mailman School of Public Health, the Program on Forced Migration and Health is one of the world's leading programs for training