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(GSAPP), Office of Professional Development and Continuing education (OPDCE), is currently seeking a mental health professional with expertise in a particular content area and the ability to instruct a
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 10-Apr-26 Location: El Cajon, California Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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duty. Skills and Knowledge: Must be able to perform foot patrol and work outside in all weather conditions. Ability to learn and utilize computer software designed for law enforcement. High level of
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recruitment website at: http://police.ua.edu/recruitment/ All communication will be sent via email. Job Summary: The Police Officer Trainee I completes UAPD in-house orientation, APOST Academy, and Field
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward
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in IEEE Communications Society’s and IEEE Signal Processing Society’s journals and conferences. Strong background in communication theory, signal processing, machine learning, and optimization theory
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of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision-values.php
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diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning