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use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link
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https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision for the future. Working Title EEO Statement It is the policy
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are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. The position is in the Digital Signal
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attending an academic Bachelor’s degree in the scientific field mentioned above. Knowledge or experience (preferred) on machine learning or computer vision techniques, and interest in developing such skills
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scholars and research scientists. The candidate will have experience setting a vision and strategy for new programs in research and in education. Responsibilities In collaboration with the principal
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Docs - Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD degree in
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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
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Learning as represented within HDSI's research scope, including but not limited to: 1) Computer Vision 2) AI for Science 3) Emerging Technologies for AI (such as Quantum Computing) All candidates
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biases. This interdisciplinary PhD (Psychology w. Computer Science) will investigate how generative AI–based super-resolution (SR) technologies influence human and machine-based facial identification
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with Museum Director to set vision, strategy, and goals for the Feitler Center of Academic Inquiry. Works closely with the Director to implement the Smart Museum of Art’s new strategic plan