134 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Yeshiva University
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The Learning Specialist will report to the Assistant Director of the Office of Academic Support and Counseling (OASC), and is responsible for assisting with conducting learning evaluations, and in
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well as applications of multi-level modeling, machine learning, and/or AI for clinical prediction and estimation of novel dynamic phenotypes related to brain health and disease risk. The Program Director will report to
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, national, and international organizations Developing research and grant opportunities . Experience & Education Background: Ph.D. in Computer Science, Computer Engineering or its related field from
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internal consistency and alignment with programmatic accreditation standards. The position is integral in facilitating student learning within prescribed research courses, creating an educational environment
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documentation and diagrams as needed when assets are added or removed Other duties as assigned ADDITIONAL RESPONSIBILITIES Assist personnel of other departments as a computer resource Provide on-the-job training
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but not limited to PC’s, two-way radios, cell phones, cameras, copy machines, and telephones Knowledge of guidelines for recruitment, selection, and promotion is required Knowledge of the disciplinary
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Position Summary: Adjunct Faculty (Part-time) who may be qualified to teach any subject in the social work master and/or doctoral curricula either online, face to face, and or hybrid. While we
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Position Summary: YU Global, an innovative educational technology startup at the forefront of transforming digital learning, seeks an exceptional Instructional Designer to drive our content
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, the web portal product Maintain the database for the provisioning and deprovisioning of computer accounts Communicate with the department manager for daily and strategic assignments updates. Review short
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collaborative initiatives with investigators across institutions and disciplines. Oversee implementation of advanced data pipelines, including applications of multi-level modeling, machine learning, and AI