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of Continuing Studies is seeking a skilled online course developer to design and build a new three credit asynchronous online course titled: Statistical Modeling and Causal Inference This role is for
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programming skills (Python or R) and knowledge of statistics are strongly recommended prior to enrollment in the course. Responsibilities: The development of an online asynchronous course entails the creation
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programming skills (Python or R) and knowledge of statistics are strongly recommended prior to enrollment in the course. Responsibilities: The development of an online asynchronous course entails the creation
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community Preferred but not required: Training in quantitative methods and statistics Experience conducting telephone and/or in-person interviews Data visualization skills Knowledge of non-English languages
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students. Qualifications: Master’s degree or higher in Statistics, Data Science, Applied Mathematics, or a related field. Employed in the program’s field and on the leading edge in terms of being current on
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upon a comprehensive design review by a Learning Designer, and Brandeis Online. Qualifications: Advanced degree (Masters or Ph.D) in Statistics, Operational Research, Data Science or a related field
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, PowerPoint preferred. Must have comfort with and experience in data analysis and manipulation, specifically working with financial information and descriptive statistics. Superior interpersonal skills with
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Position: Online Course Developer – RHIN XXX Implementation Science and Change Management in Health Systems Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies, Brandeis University Compensation: $3,000.00 (Approx. 65 hours over 12 weeks) Brandeis University’s Rabb...
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. Qualifications: Advanced degree (Master’s, Ph.D., PsyD, or J.D.) in Industrial-Organizational Psychology, Psychometrics, Statistics, Applied Psychology or Human Resource Management (with a quantitative focus
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. Qualifications: Advanced degree (Master’s, Ph.D. or PsyD) in Industrial-Organizational Psychology, Psychometrics, Statistics, Applied Psychology or Human Resource Management (with a quantitative focus