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Psychology provides training in the cognitive, emotional, and social learning processes that underlie education and human development across the lifespan, including: the psychological foundations of education
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. The role oversees permanent, ongoing operational functions and ensures service excellence across all assigned areas. Responsibilities Manage and direct Custodial, Grounds, and Auto Shop staff, ensuring safe
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dataset using a physically based model, using a unique hydrometeorological dataset for the Reynolds Creek Experimental Watershed, and then apply Artificial Intelligence/Machine Learning (AI/ML) methods
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Office Suite, learning management systems, and other technology-enhanced delivery platforms. Preferred Education, Knowledge, Skills & Experience: Master's degree with at least one year of advising
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California State University, San Bernardino | San Bernardino, California | United States | 5 days ago
education. Required Qualifications: General understanding of a library's organization structure and key functional operations. Basic knowledge of library terminology and bibliographic forms and structures
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Research Infrastructure? No Offer Description The requested figure will be responsible for developing and implementing both machine-learning methods for analysing images and audio files in Python, as
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datasets Implement LLM and Machine Learning algorithm Conduct statistical analysis in SAS or Stata Assistant with other ad hoc tasks Required Education Bachelor’s or Master’s degree in computer science
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/Licenses Required Knowledge, Skills, and Abilities Knowledge of classroom management, adult learning, and effective communication/facilitation techniques. Computer literacy and familiarity with
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: The Smart Manufacturing & AI Systems Engineer (KTP Associate) will work on: Data acquisition pipelines and IoT sensor integration Building machine learning models for forecasting, optimisation, and automated
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by colloids, as well as methods for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion