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Learning, Big data Analytics, applied computer programming, Earth systems science research and current data science techniques. Technical experience in programming. Demonstrated strong computer skills to
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a background in Data Sciences/ Machine Learning or engineering are encouraged to apply. This student research assistant will work primarily at the Rinker Campus for up to 8 hours per week with
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are central to providing guidance, information, and support with the intent of enabling students to make informed decisions and engage available resources to maximize learning outcomes and pre-professional
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assistant will assist in the development of fairness-aware machine learning models. The research assistant needs to attend the weekly meeting with mentor, report progress and discuss technical issues
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Science is desired; Completion of CPSC 393 Machine Learning is a bonus. Special Instructions to Applicants Budget Information Is Federal work-study required? With or Without FWS
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applications for a post-doctoral fellow position in the areas of machine learning, statistics, and data science. Chapman University is a nationally ranked institution offering traditional undergraduate and
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to furthering equity, diversity, and the improvement of public education Experience in inclusive education and differentiated instruction Strong commitment to student learning, quality teaching, and academic
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, multiply, divide, and percentages. Technical ability to learn and use enterprise software. Strong computer skills in the use of word processing, spreadsheet, presentation, database, internet and electronic
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students with disabilities to determine academic accommodations. Interpret diagnostic assessments, scores and reports for medical, physical, psychological and learning disabilities. Provide expertise
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department social media accounts to ensure quality and consistent execution of branding and messaging. Instruct and consult with Chapman departments/offices to manage their interactive marketing plans, define