174 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Brown University in United States
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in propensity score matching, and causal inference models to assess treatment effects and inform policy Experience in utilizing machine learning algorithms to analyze large datasets and generate
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environment. Ability to be a vital team member when the situation warrants while maintaining careful attention to detail. High level of computer knowledge. Must be proficient with Excel, including pivot tables
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interpersonal skills. Ability to maintain work priorities in an environment with multiple concurrent tasks and projects while meeting deadlines with minimum supervision. Excellent computer proficiency, including
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to ensuring a supportive, challenging, inclusive, and equitable living and learning environment for pre-college students who hail from all 50 states in the U.S. and over 70 countries. The planning for and
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. Computer skills are required including proficiency with MS Word and PowerPoint. Working knowledge of AALAS Learning Library and Traincaster preferred. Excellent written, verbal, and interpersonal
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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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fundraising enterprise. Computer proficiency and knowledge of CRM systems required. Working knowledge of email and calendars, the Windows environment, including Microsoft Word, Excel, PowerPoint, Google Suite
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with ability to synthesize large volumes of information. Excellent verbal and written communication skills; excellent interpersonal skills. Computer skills (data management, statistical software packages
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frequently moving about inside the office to access printer, files, and other materials/equipment. Operates a computer and other office equipment. Typically lift/carry/push/pull 20 to 50 pounds. Frequently
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connection, mutual learning, and community across generations. In collaboration with the Alumni Community & Belonging team and others across the University community, the Assistant Director ensures that CLD