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constructive feedback on their work, presentations, or prototypes. Help assess the achievement of learning objectives and provide suggestions for improvement. Monitors the progress of student projects, ensuring
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annotation, and emerging machine-learning and generative methods for spectra or structure proposals. Evaluate and test emerging technologies (hardware and software) in close interaction with collaborators and
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enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
models (LLMs), Computer Vision and and Deep Learning architectures (CNNs, RNNs, etc). * Strong foundational knowledge in machine learning and data science methodologies. * Proficiency in programming, with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
models (LLMs), Computer Vision and and Deep Learning architectures (CNNs, RNNs, etc). * Strong foundational knowledge in machine learning and data science methodologies. * Proficiency in programming, with
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Level 41 Salary Range $15.83-25.30/hour Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https://hr.uky.edu/employment
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, these tools have historically suffered from high computational costs preventing their large-scale use in an industrial environment. The role holder will develop and deploy theory-guided machine learning
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modeling and model–data fusion techniques, and developing faster, machine-learning–based tools that can stand in for slow model simulations. These tools will be used to test how model parameters influence
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for this position is $54,500 - $115,500 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and
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at the intersection of artificial intelligence and cultural heritage. The successful candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital