106 parallel-computing-numerical-methods positions at Rochester Institute of Technology
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all details around prospective student visits with CET academic departments. Experience with digital communication methods, social media, and Adobe Creative Suite is preferred. FLSA Category Non-Exempt
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-understand tasks that can typically be learned in a short period of time. Work is performed under close supervision using clearly prescribed methods and detailed instructions. Real-Time Captioning at RIT/NTID
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tools and best practices Works with stakeholders across the university in support of faculty research (ex., Sponsored Research and Research Computing) Additional Skills Skilled in data cleaning, analysis
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routine, well-defined, easy-to-understand tasks that can typically be learned in a short period of time. Work is performed under close supervision using clearly prescribed methods and detailed instructions
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: Lead and oversee signature student engagement initiatives within CET, including the Women in Technology (WiT) program, CET Cares, and the Peer Mentor program, ensuring alignment with college priorities
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planning, and helps ensure students meet program participation requirements. Supports Upward Bound program administration by maintaining accurate student records and databases, tracking participation
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and staff computing, cross-platform (Mac/Windows) computer labs, AV systems, managed print services, tablet checkout resources, peripherals, and specialized hardware and software used in academic and
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, and applied technologies across relevant domains Knowledge of safety standards, compliance requirements, and quality assurance protocols in technical environments Skill in applying analytical methods
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. Performs routine, well-defined, easy-to-understand tasks that can typically be learned in a short period of time. Work is performed under close supervision using clearly prescribed methods and detailed
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Foundation as part of the Simons Empire Faculty Fellows Program to stimulate faculty hiring across New York State. This position is designed to support the development of strong, independent research programs