684 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at The Ohio State University in United States
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, flexible, and very adaptable to change because the payer rules change constantly. The CFCM-RN must be able to troubleshoot, problem solve, continuously learn, be highly independent, self-motivated and have
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Effectively teach courses Education and Experience Requirements Required: Masters of Music Desired: Demonstrated evidence of successful teaching in higher education. How to Apply To be considered, please submit
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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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coaching, mentoring, accountability, and professional growth. Encourages collaboration, continuous learning, and a culture of responsiveness and service excellence. Leads recruitment in conjunction with
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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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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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. 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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periods of sitting at a desk and working on a computer Occasional standing and walking within the office Ability to lift up to 20 lbs (e.g., office supplies, files) Manual dexterity for keyboarding and
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. 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 deep