700 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Cornell University in United States
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course syllabus, content, and assessments Instruct veterinary students throughout the curriculum and extra-curricularly on management of hoof disorders of the horse •Didactic lectures and interactive
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adult learning principles into educational and training programs for direct care, supervisors, teachers and other professionals working with children with complex trauma and challenging behaviors
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diverse team and perform with minimum supervision. Have basic computer and technical skills including familiarity with Microsoft Office and the ability to learn electronic medical record system (ezyVet)and
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should submit materials to CornellVPandGC@SpencerStuart.com . For additional information about Cornell University, please visit https://www.cornell.edu/ . The Opportunity The Vice President and General
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information. Ability to work effectively with college, university, and departmental financial offices. Commitment to continuous learning. Preferred Qualifications Experience in higher education with grant
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. The focus of this position is developing methods to disentangle dynamic, multiscale ecological signals from large, noisy observational data. This work lies at the interface of statistics, machine learning/AI
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applications for a part-time Lecturer position in health administration to teach in our residential and executive masters programs starting in late Spring or early Summer 2026. We are seeking a healthcare
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the U.S. and abroad. The Vice Provost for Undergraduate Education leads initiatives and programs that broaden access to learning opportunities, provide essential academic supports, emphasize education, and
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an appointment through December 31, 2026. More information about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and the Yang-Tan Institute at http://www.yti.cornell.edu/ . We require
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, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression