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Description Summary AI tools such as Large Language Models (LLMs) can be applied to mathematical text to help create a Knowledge Graph (KG) for Mathematics. This would be useful for many tasks such as helping
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will provide support for Educational Technology Services to provide assistance and computer support for Chapman University faculty, staff, and student end users. • Create charts and graphs from Excel and
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on data gathered with wrist/ankle inertial sensors and video recordings • Conduct statistical analysis of data • Design graphs of findings Dissemination of Findings • Assist the Supervisor, PI, and Co-PI
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operations management Master’s degree in higher education, college student affairs, business, or a related field Knowledge of student development theory and issues relevant to higher education Experience with
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Posting Details Position Information Position Title Financial Operations and Analysis Assistant - Temporary Position Type Temporary Job Number SA62424 Full or Part Time full-time 40 hours weekly Fair Labor Standard Act Classification Non-Exempt Anticipated Pay Range $32.00 - $36.00 Pay Range...
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the production the Review. Assist in the production of the forecast publication for the Inland Empire. Assist in creating tables and graphs for presentations and publications. Assist in writing and producing press
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color theory, as well as a working knowledge of the Adobe Creative Suite, to design logos, advertising, website banners, and informational documents for students, faculty, staff, and families. • Support
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candidate will bring a data-driven mindset, a strong understanding of compensation theory and compliance, and the ability to collaborate effectively with departments across the University. Excellent
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oral and written. Knowledge of psychological theory and testing, appropriate for a college population. Excellent interpersonal skills to interact with diverse individuals in a university. Proven ability
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foundation in mathematics and statistics, and hands-on experience in machine learning. Desired Qualifications Proficiency in Python and relevant libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch