406 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" positions at The California State University
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the ability to set own priorities to coordinate multiple assignments with fluctuating and time-sensitive deadlines. Excellent computer skills and competence with a variety of computer applications including
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computer applications including word-processing, spreadsheets, databases, on-line systems, Internet as well as online calendaring and email. Working knowledge of or ability to quickly learn University
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to an undergraduate-centered, pedagogically innovative Computer Science degree program. Priority will be given to applicants who specialize in machine learning, data mining, natural language processing (NLP), computer
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: In-person College: CSTEM - College of Science, Technology, Engineering, and Mathematics Department: Electrical & Computer Engineering The Electrical & Computer Engineering Department at California
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campus is located in the Hayward hills with panoramic views of the San Francisco Bay shoreline. Situated above the city of Hayward, the campus offers an ideal setting for teaching and learning and yet easy
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Modality: In-person College: College of Science, Technology, Engineering, and Mathematics Department: Electrical & Computer Engineering The Electrical & Computer Engineering Department at California State
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related field. Desire to learn new skills and work in teams including students, researchers, and faculty. Excellent computer skills including Microsoft Word, Excel, PowerPoint, and statistical software
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help mentor undergraduate and graduate students and will have the opportunity to teach classes by separate assignment as a part-time lecturer. This position will begin Summer or Fall 2026 according
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healthcare setting. Growth opportunities: Benefit from professional development and learning within a strong campus community. Position Information This is a full-time (1.0 time-base), benefits eligible
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University San Marcos invites applications for an instructor position to teach EDSS 591-3 – Secondary Art Education. Course Description This methods course provides a foundation in the teaching and assessment