135 machine-learning-"https:"-"https:"-"https:"-"https:"-"RAEGE-Az" positions at Brown University
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standard software platforms. Ability to quickly learn and apply project management tools such as Bluebeam Revu, Smartsheet, or similar systems. All offers of employment are contingent upon completion of a
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are expected to commit 15-20 hours per week between mid-December and mid-March. Training will be provided in mid-December. The salary for this position is $25 an hour. Well-developed computer skills and strong
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Previous experience in a fast-paced environment Willingness to learn the basic rules of sporting events Strong communication and interpersonal skills Possess a willingness and ability to support a diverse
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Job Description: About Brown Brown University is a leading research university distinct for its student-centered learning and deep sense of purpose. Our students, faculty and staff are driven by
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Job Description: About Brown Brown University is a leading research university distinct for its student-centered learning and deep sense of purpose. Our students, faculty and staff are driven by
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through the Division). Qualifications Must have a comprehensive knowledge of a given sports rules and regulations. This position also requires a knowledge of, or demonstrated ability to learn, specific game
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(Gmail, Sheets, Documents, Folders and Files) Demonstrated experience with creative platforms (for example, MailChimp, Facebook, Instagram, Adobe or Canva, etc) Ability to learn and master a variety of
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research university that is distinct for its student-centered learning and deep sense of purpose. Our students, faculty, and staff are driven by the idea that their work will impact the world. Brown
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a successful criminal background check and education verification satisfactory to Brown. Additional Information: Please submit a resume and cover letter when applying for this position. To learn about
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that include the use of psychophysiological and substance use screens. This position will need to be able to learn REDCap and enter data as well as learn how to implement procedures for setup of the ecological