202 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at The California State University
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with any of the following specialties including Obstetric Nursing expertise for a full-time, tenure-track position. The candidate will be qualified to teach in the variety of programs (BSN, RN-BSN, CEP
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passion and creativity within their fields and set the stage for a future grounded in equity and sustainability. Hands-on learning, inspired teaching, ground-breaking research, and thought-provoking
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or experience in Artificial Intelligence, Machine Learning, or Big Data Analysis is preferred. Responsibilities include research (85%), mentoring student researchers, assisting with grant proposal development
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- California Faculty Association, Faculty - Social Sciences, Temporary, Part Time Department Summary The SJSU Anthropology Department is dedicated to excellence in teaching and learning within our field and for
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and a Hispanic Serving Institution. Our staff and faculty transform students’ lives with a focus on student success and engagement through experiential learning, service learning, and a strong emphasis
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and promote an enriched learning environment where students with disabilities can utilize their skills and pursue their academic and personal development goals. Responsibilities include, but are not
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the Registrar. Maintain files (creating, updating and organizing). Perform other duties and responsibilities as assigned. Minimum Qualifications: Ability to learn and perform assigned work; follow oral
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materials. Maintain a clean, organized, and professional workspace and departmental vehicle. Minimum Qualifications: Ability to learn and perform assigned work; follow oral instructions; work cooperatively
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specialty Basic knowledge of and ability to apply fundamental concepts Working knowledge of budget policies and procedures Ability to learn, interpret, and apply a wide variety of policies and procedures
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security, cryptography, privacy-preserving and trustworthy computing, AI-driven security and adversarial machine learning, security of cyber-physical and autonomous systems, and/or cloud or edge system