213 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at University of California
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, Peoplesoft, and Ebuy) Candidates need experience in a receiving environment, knowledge of DOT regulations, strong communication skills, and must possess computer skills necessary to create, sort, and manage e
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, and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff
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projects. Collaborate and communicate effectively within cross-functional teams including domain scientists, facility staff, and computer scientists and engineers. Apply state of the art software engineering
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Required: Training in advanced mathematics, data science and software engineering Extensive experience with Python programming Expertise in workflow optimization Training in machine learning and AI Highly
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. Responds to requests, maintains supplies, and conducts maintenance on specialized systems such as poster printers, 3D printers, laser cutters, circuit board milling/routing machines, and other systems yet to
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The Department of Electrical Engineering and Computer Sciences (EECS), in both the College of Engineering and the College of Computing, Data Science, and Society (CDSS) is the largest academic
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Familiarity with scheduling systems and electronic medical records (EMR) Basic computer proficiency, including Microsoft Office applications Ability to handle sensitive information with professionalism and
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priorities and deadlines and to delegate tasks in a management style that is consistent with promoting leadership and teamwork Knowledge base or willingness to learn new information in order to provide
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cleaners, buffers, wall washing machines, shampoo machines and floor machines. You will also perform other duties as assigned by the supervisor. Salary range: $21.05 - $27.21 Hourly Effective June 22, 2025
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the physical requirements of this position, including performing computer-related functions for up to 8 hours per day that involve data entry, business correspondence, document management, research, calendaring