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to produce cutting edge social science, computer science, and data science research that improves public policy decision making. The MDI Machine Learning Developer will engage in research, development, and
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audiovisual systems including lecture capture software, digital and analog audiovisual interfaces, video conferencing hardware/software, and television production equipment. The candidate must be able to manage
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of the operation and maintenance of a wide variety of audiovisual systems including lecture capture software, digital and analog audiovisual interfaces, video conferencing hardware/software, and television
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for installing, maintaining, and upgrading computers and peripherals, installing and upgrading software applications, assisting faculty, staff and students with computer issues, troubleshooting and resolving
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computers and peripherals, installing and upgrading software applications, assisting faculty, staff and students with computer issues, troubleshooting and resolving computer problems, maintaining software
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research results at team meetings and contribute to scientific publications Collaborate with cross-functional teams including computational biologists, biochemists, and software engineers Work Interactions
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with design software, such as: SolidWorks, Mastercam, or Autocad, as well as software for data acquisition and instrument control such as LabVIEW are desirable qualifications. Knowledge of programming
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the Assistant Director of Scheduling, including processing requests involving Public Safety, Audio/Visual and Facility needs using the University’s Event Management System (EMS) software program. Coordinate with
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sponsor system, as well as internal software. They develop an understanding of research processes, documenting business requirements of research processes. Partnering with clinical staff to help with
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software problems and addressing the issues until they are successfully resolved A flexible, open-minded approach towards evolving responsibilities and duties Excellent communication and interpersonal skills