206 engineering-"https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Columbia University
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of New York (CUNY), and Cornell University. Support research focused on the development and evaluation of antiviral therapeutics, neutralizing monoclonal antibodies, and advanced engineered tissue models
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Laboratories provides operational management and day-to-day coordination for Department of Mechanical Engineering instructional facilities, including the main Teaching Laboratories, the Mechatronics Laboratory
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Graduate or Equivalency required. Preferred Qualifications Bachelor's degree in chemistry, biology, engineering or related science preferred or equivalent combination of education, training and experience
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Columbia University (including, but not limited to, the Climate School, the Law School, the Business School, and the Fu Foundation School of Engineering and Applied Science) and with outside academic
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. Minimum Qualifications Bachelor's degree in biological sciences, engineering, chemistry, physics, math, computer sciences, or related fields or equivalent in education, training and experience. Preferred
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training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary Columbia Engineering seeks a
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Certification. Preferred Qualifications Intermediate to advanced level MS Office skills. Proficiency with technology and social media platforms. Effective interpersonal and communication skills required. Equal
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comfortable taking initiative and who can play a major role in initiating new projects and help to bring several projects to completion. Related experience in technology, information management, clinical
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: https://www.publichealth.columbia.edu/become-student/departments/epidemiology/research . We are seeking to further strengthen our research portfolio especially in new and innovative aspects
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, training, documentation, FAQs, office hours, and other enablement activities that help users adopt AI services effectively. Cross-Team Collaboration: Works closely with AI Solutions Engineers, existing