287 engineering-computation "https:" "https:" "https:" "https:" "Univ" positions at Columbia University
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Qualifications Bachelor?s degree and/or its equivalent. A minimum of two years? related experience. Supervisory experience with a demonstrated ability to program workflow and coordinate schedules is preferred
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to the Director of Engineering Operations , the Assistant Building Manager will manage the daily operations of corrective and preventative maintenance for critical building systems, automation controls and valves
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development, support, and accountability. Oversee the technology used by Student Groups in partnership with the Dean of Undergraduate Student Life, the Student Engagement leadership, and CCIT to coordinate
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engineered mouse models, organoids, and patient-derived samples and leverage cutting-edge approaches in gene editing, organoid technologies, and various -omics. The candidate will train in a highly supportive
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Deadline 1 Mar 2026 - 00:00 (Africa/Abidjan) Country United States Type of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU
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The Licensed Refrigeration Engineer will perform daily refrigeration engineering assignments required by maintenance and/or job orders, by sketch, blueprint illustration, or supervisor's oral directions in
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bachelor's degree and at least 1.5 years of related experience or equivalent in education, training and experience. Preferred Qualifications Experience in RNA sequencing and computational methods is an
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clear records, and work in a team environment. Basic computer skills. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents. Create
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community. For further information about the department and our activities, centers, research areas, and curricular programs, please go to our web page at: https://www.stat.columbia.edu Qualifications PhD in
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, implementation, and analysis of machine learning models for computer vision tasks (40%). Analysis of natural scene statistics in aquatic and terrestrial environments (40%). Design of models to learn texture