678 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at The Ohio State University
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handling. Major duties include: Design and implement computer vision pipelines for crop monitoring, plant stress detection, and disease identification in greenhouse environments. Apply machine learning and
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using natural language processing techniques, machine learning and predictive modeling. They will analyze these databases using machine learning algorithms, contribute to the development and
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-time, hourly Analyst for a role that involves a large breast cancer dataset. The role includes data cleaning for a large, medical dataset of MRIs and machine learning analysis of time-series data
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with educational technologies including learning management systems. Experience with computer programs for educational administration, including calendars, spreadsheets, and survey software. Willingness
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. Experience in peer recovery services, behavioral health services, social services. Experience with electronic health records. Ongoing: Current Basic Life Support Certification. Complete Computer Based Learning
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services. Experience with electronic health records. Ongoing: Current Basic Life Support Certification. Complete Computer Based Learning (CBLs) annually. Maintain annual competencies as outlined by OSUMC
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research, etc.). Required qualifications: Basic computer skills (email, Microsoft Office) Eagerness to learn new topics/concepts in earth sciences Ability to learn new techniques, software, and tools
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of the MAE Student Machine Shop located in Scott Laboratory. This position reports to the MAE Shops Manager and plays a key role in supporting student learning, hands-on engineering education, and departmental
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guidance; escalates as needed. • Strong organizational skills, attention to detail, and clear written/verbal communication. • Proficiency with standard computer tools (e.g., Excel/Word/PowerPoint) and
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substantiated by our graduates' thriving private practices, successful academic careers in teaching and research (e.g., professors and chairs of periodontology), outstanding work in the armed forces (e.g