73 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at The University of Arizona
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. Minimum Qualifications PhD degree in clinical translational sciences, radiobiology or related field of study. Preferred Qualifications Experience with computational fluid dynamics. Experience with vertical
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world-class observational and computational facilities for ground-based radio and optical observing. Start dates range from March 2026 to August 2026. Outstanding U of A benefits include health, dental
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evaluation of alloys; familiarity with finite element methods. Skills and experience in programming, machine learning, or signal processing are all considered a plus. Outstanding UA benefits include health
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for manuscripts related to the publication. Contribute (writing and figures) to grant submissions related to this project. Train lab members in various computational techniques. Minimum Qualifications PhD in
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to the publication. Contribute (writing and figures) to grant submissions related to this project. Train lab members in various computational techniques. Minimum Qualifications PhD in Neuroscience or related field
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College of Medicine - Phoenix. Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU
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projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions for SDA
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research projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions
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producing written and graphical outputs for project publications. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU
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. UA/SO offers a world-class research environment in astronomy/astrophysics and provides direct access to a variety of powerful observational/computational facilities. The successful candidate will have