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partners. Working under the guidance of the Director of the Sallyport Fellows Program and the Lead Data Scientist within IDEAS, the Data Scientist serves as an advanced analytics resource embedded within
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, associated with the Q Ontic Initiative—an interdisciplinary project at the interface of quantum foundations, computational physics, and physics education. The position focuses on the development of interactive
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Exchange Visitor Program. This position requires attention to detail, strong communication skills, and knowledge of immigration regulations and Rice/OISS office procedures and policies to best support the
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exceptional communication and relationship-building skills to help community partners navigate questions related to data collection, program measurement, reporting requirements, and evaluation design. This
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-year basis 2+ years of experience accompanying/collaborating with collegiate-level musicians in conservatory or university settings and/or in a professional young artist or festival program In lieu
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affordability at scale. Workplace Requirements: This is a computer-intensive role performed in a remote home-office environment. Reliable high-speed internet access and a suitable, distraction-minimized workspace
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visitors. These values can be recalled simply by our name -- RICE -- Responsibility, Integrity, Community and Excellence. About George R. Brown School of Engineering and Computing: The George R. Brown School
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on a team or independently Ability to work well in a fast-paced environment and adaptable to change Excellent Communication and Interpersonal skills Preferences Bachelor's degree in engineering, computer
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collaborative, high-impact career development team and as a school liaison for the School of Engineering and Computing, in addition to designated industry career communities, building structural bridges between
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under FLSA are not eligible for overtime . Minimum Requirements: Bachelor's Degree with emphasis in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Business Analytics