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Position Location: Cleveland, Ohio 44106, United States of America [map ] Subject Area: Artificial Intelligence (AI) and Machine Learning Appl Deadline: (posted 2024/12/10, listed until 2025/06/10) Position
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Implications of Artificial Intelligence (AI) and Machine Learning. While this position is open discipline, the ideal candidate must be in the humanities or social sciences with expertise in ethics, social and
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Machine Learning with specialization in natural, social or mathematical sciences. The search is part of the university's Faculty 100 hiring initiative in areas including AI and data science. Qualifications
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responsibility. Moderate computer skills including Microsoft Excel, Word, PowerPoint, Canva, and Google software. Ability to learn new software (e.g., RedCap, VALT, LabChart, HoloAnatomy), equipment (e.g
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opportunities facing higher education. Ability to deal with issues and cultures throughout the nation and beyond. Computer proficiency (including Microsoft Office) and the ability to learn new programs. Ability
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serves as a specialized role in the Cardiovascular Research Institute managing multiomic platforms using enabling Artificial Intelligence (AI) and machine learning approaches as part of a precision
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face. Computer proficiency (including Microsoft Office) and ability to learn new programs. Demonstrated history of successful support, education, and advocacy for all students, aligned with the values
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. ESSENTIAL FUNCTIONS Perform specific aspects of a broader engineering problem. Oversee the undergraduate laboratory experiments, including building the computer interfaces and the actual experimental
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Interprofessional Scholars Collaboration in Teaching and Learning Program. Actively contributes to creating a dynamic environment for faculty engagement and teaching recognition, including the Scholarship in Teaching
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interrupting at inappropriate times. Communicating effectively in writing as appropriate for the needs of the audience. Talking to others to convey information effectively. Ability to actively learn