188 machine-learning "https:" "https:" "https:" "https:" "https:" positions at University of Nevada Las Vegas
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apply. Learn more about resources and support for veterans at UNLV Veterans Services (https://www.unlv.edu/jobs/veterans ), or reach out to us at vetjobseekers@unlv.edu . Veterans are encouraged to apply
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, two of the full-time professional staff teach laboratory courses on a full-time basis. The faculty groups to four sub-area committees (SAC): 1. Electronics and Circuits; 2, Computer Engineering; 3
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the department's medical physics programs Service duties in accordance with university criteria For more information about the department, visit us on-line at https://www.unlv.edu/hpds UNLV is a comprehensive
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for Las Vegas and Nevada. For more information, visit us on line at: http://www.unlv.edu EEO/AA STATEMENT The University of Nevada - Las Vegas (UNLV) is committed to providing a place of work and learning
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for Las Vegas and Nevada. For more information, visit us on line at: http://www.unlv.edu EEO/AA STATEMENT The University of Nevada - Las Vegas (UNLV) is committed to providing a place of work and learning
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family member, we encourage you to apply. Learn more about resources and support for veterans at UNLV Veterans Services (https://www.unlv.edu/jobs/veterans ), or reach out to us at vetjobseekers@unlv.edu
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Engineering, Electrical Engineering, or a closely related field, along with a demonstrated passion for teaching and meaningful industry experience. This faculty in residence position reports to both colleges
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. For more information, visit us on line at: http://www.unlv.edu EEO/AA STATEMENT The University of Nevada - Las Vegas (UNLV) is committed to providing a place of work and learning free of discrimination
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hospitals. For more information, visit us on line at: https://www.unlv.edu/medicine . MINIMUM QUALIFICATIONS This position requires an MD or DO from an accredited college or university as recognized by
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI