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-doctoral fellow position in the areas of machine learning, statistics, and data science. Chapman University is a nationally ranked institution offering traditional undergraduate and graduate programs in
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-doctoral fellow position in the areas of machine learning, statistics, and data science. Chapman University is a nationally ranked, R2 Carnegie Classified, private institution offering traditional
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will learn machine learning methodologies and assist in developing algorithms for real-world applications, including health monitoring and diagnosis. The role also required attending weekly meetings
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required Must have some computer-related technical skills Willingness to learn more about film and video post-production workflows and techniques Good customer service and troubleshooting skills Punctuality
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handling, and confidentiality. Process and analyze kinematic, kinetic, and physiological datasets using MATLAB, Python, or R. Assist in the development of machine learning models and statistical methods
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to work as a supportive, cooperative member of an interdisciplinary team Experience with or strong willingness to learn programming Ability to work independently Desired Qualifications Experience in a
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, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by
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Collect and analyze data Prepare materials for submission to granting agencies and foundations Provide ready access to all experimental data for the faculty researcher and/or supervisor Request or acquire
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. Responsibilities Data collection and Biomedical Signal Processing: Prepare Instruments in Laboratory, Acquire quotes for laboratory supplies Data processing in MATLAB, C Motion, Visual 3D, and R Write and Prepare
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. Their responsibilities include preprocessing satellite imagery, integrating ground-based observations, and applying data science techniques, such as Python-based statistical analyses and machine learning models, to detect