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-level (assistant) machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. The AI
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Department of War security clearance. Knowledge, Skills, and Abilities: Deep Technical Knowledge: You have performed extensive research or engineering activities in applied machine learning and artificial
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Department of War security clearance. Knowledge, Skills, and Abilities: Deep Technical Knowledge: You have performed extensive research or engineering activities in applied machine learning and artificial
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
JOB DUTIES Description The Machine Learning Specialist plays a key role in advancing UCLA Health’s AI and machine learning capabilities. This position contributes to the development, evaluation
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seeking to hire a Full-Stack Machine Learning Engineer (MLE) / Data Scientist (DS) to support the end-to-end management, analysis, and visualization of behavioral and clinical data streams. The full-stack
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Generalisable, Physics-Aware Machine Learning for Gas Turbine Engines School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Dr Will Jacobs, Dr Andy Mills
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currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission
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RAP opportunity at National Institute of Standards and Technology NIST Applications of Machine Learning/AI to Neutron Scattering Location NIST Center for Neutron Research opportunity location
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currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals