116 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at The California State University
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qualifications) CSUN’s Commitment to You: CSUN is committed to achieving excellence through teaching, scholarship, learning, and inclusion. Our values include a respect for all people, building partnerships with
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goals and be recognized for the work you do, and enjoy the unique value the CSUN community can offer. If this sounds like you, you’ve come to the right place. Learn more: https://www.csun.edu/about-csun
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schools. Experience using and learning technology (Google suite, Zoom, Canvas or other Learning Management System) to effectively communicate. Experience working in and fostering a diverse faculty, staff
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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 on multicultural
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qualifications and professional experience. Best-in-class Benefits: Click here to learn more CSU Total Compensation: Click here to learn more Salary Grade/Range: 1 Recruitment Type: Regular (Probationary) Time
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instruct staff in proper custodial practices, safety procedures, and equipment use Assign, review, and inspect custodial work; complete inspection forms and provide feedback Assist in maintaining employee
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/or data science (e.g., machine learning and AI, Bayesian methods, predictive analytics). In addition, all faculty members are expected to conduct research in the subdiscipline of their expertise (e.g
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and faculty transform students’ lives with a focus on student success and engagement through experiential learning, service learning, and a strong emphasis on multicultural and global perspectives
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you do, and enjoy the unique value the CSUN community can offer. If this sounds like you, you’ve come to the right place. Learn more: https://www.csun.edu/about-csun . Major Duties PLEASE NOTE: The
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one or more areas, but not limited to, AI-driven project management and scheduling, machine learning for risk assessment and safety prediction, automation and robotics in construction processes