267 data-"https:" "https:" "https:" "https:" positions at Columbia University in United States
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interactions. Knowledge of semiconductor physics, materials chemistry, or nanoscale systems. Proficiency in scientific programming (Python, Matlab), data fitting, and signal processing. Strong analytical
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for undergoing testing or other research procedures, including imaging measurements and running software with prepopulated scripts. Responsibilities Organizing files Radiographic imaging analyses Data extraction
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to paired cortical?spinal stimulation and by building a researcher-friendly GUI around our existing Python library hbMEP. Responsibilities Developing analysis pipelines for electrophysiological data from rats
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within Columbia Engineering. For additional information and to apply, please visit: https://engineering.columbia.edu/faculty-job-opportunities Applications should be submitted electronically at: https
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of Emergency etc.) Documentation of hardware locations/access using Visio, PDF files, etc., and updating our internal wiki. Acts as a technical resource in assisting users with equipment and data; supports help
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imaging data to perform blood flow analysis. Maintaining Aortic Center database. Discuss the results with the PI and other lab members. Attend/present at seminars and conferences and participate in various
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for the department and faculty via USPS, FEDEX, and UPS. Record keeping/Data management Attend all Executive Committee and Tenured Executive Committee Faculty meetings; take attendance, count votes taken in
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faculty and students working in probability, statistical theory, computational methods, data science, and interdisciplinary domains, supported by a range of centers, including the Applied Statistics Center
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for the Arts Initiative at Columbia University. Manages the Ticket and Information Center (TIC), the Arts Initiative?s on-campus box office for the Columbia community. Responsibilities include maintaining high
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. The department hosts world-class faculty and students working in probability, statistical theory, computational methods, data science, and interdisciplinary domains, supported by a range of centers, including