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POSITION TITLE: Learning & Career Specialist COMPENSATION RANGE: 50,000.00 - 60,000.00 USD per year EMPLOYMENT CLASSIFICATION: Professional Administrative DEPARTMENT: Academic Affairs Office TARGET
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Experiential Learning Analyst Apply now Job no: 553801 Work type: Staff Location: Los Angeles Categories: Unit 9 - CSUEU - Technical Support Services, Administrative, Probationary, Full Time Job
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and implement machine learning systems, models, and schemes Research and apply state-of-the-art machine learning prototypes to sponsor specific domains Search and select appropriate data sets before
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
IT EDW Operations Full Time 87012BR Job Summary The Machine Learning and Data engineer role will lead the development, implementation, and maintenance of data pipelines and infrastructure to support
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are seeking a Senior Data Engineer with deep expertise in database design, optimization, and data access strategies to support our growing data science and machine learning initiatives within the Visualization
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Research Associate to develop and apply scalable artificial intelligence (AI) / deep learning (DL) methods to advance multi-scale coupled physics simulations in support of the missions and programs of the US
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Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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Title: Student Services Coordinator - Learning Specialist Employee Classification: Student Services Coordinator Campus: University of North Texas - Health Science Center Division: HSC-Provost & Exec
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, United States of America [map ] Subject Area: Computational Science / Artificial Intelligence/Machine Learning Appl Deadline: (posted 2025/11/19, listed until 2026/01/26) Position Description: Apply Position Description
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LEARNING TECHNOLOGIES ACCESSIBILTY SPECIALIST - (T232321) Description The University of Alabama at Birmingham (UAB) seeks a highly skilled individual in digital accessibility in course materials to