365 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"St" positions at Columbia University in United States
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Analytics, the Data Analyst will support the development, maintenance, and delivery of data and reports related to the academic curriculum and programs at Columbia Business School. The Analyst will assist
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of clinical operations, polices, systems, and procedures to ensure delivery of quality service to all patients. Works closely with Administration and QA Nurse Manager to plan and implement new program
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the minimum skill requirements are welcome to apply. The candidate should have a strong publication record and demonstrated experience working with membrane proteins. Strong computational skills for specialized
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to compete for and win Ivy League titles and NCAA Championships. With 31 varsity sports, Columbia Athletics is the largest NCAA Division I athletics program in New York City and the only NCAA Division I sports
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, which will best meet the needs of the research community at VP&S. One of the main objectives of this position is to have the necessary skill set to support the contracting processes. The CTO assists
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, Registered Nurses, other members of the multidisciplinary care team, and administrative support staff within the CACC Program to ensure exceptional patient care. Responsibilities The incumbent will perform and
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systems as needed, and document new systems and processes in appropriate training materials. Supervise Program Coordinator and Administrative Assistant in maintenance of CPS website and in producing and
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procedures. Other Requirements Participation in the medical surveillance program Contact with patients and/or human research subjects Potential bloodborne pathogen exposure Successful completion of applicable
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, the Director of Finance and Administration is responsible for the overall financial management and administrative operations of the Department of Computer Science in The Fu Foundation School of Engineering and
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datasets from single-cell RNA-seq, metagenomics, and metabolomics. A strong background in bioinformatics or computational biology is required, along with experience integrating multi-omics data. Familiarity