10 computer-vision-and-machine-learning Postdoctoral positions at The University of Arizona
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Sign In Create Profile Postdoctoral Research Associate (Electrical and Computer Engineering) Tucson, AZ, United States | req24681 Apply Now Share Save Job Posted on: 12/5/2025 Back to Search
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, registry data, health data, laboratory data, electronic health records, biomedical informatics standards. Working kowledge or direct experience in SCN8A-related disorders. Experience in machine learning
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Qualifications Hands-on experience integrating hardware + software for robots (arms, mobile, mechatronics) and real-time control. Experience in computer vision, multimodal perception, or foundation models (VLMs
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such as computed tomography (CT) and x-ray phase contrast imaging (PCI). Perform laboratory duties such as setting up instruments, perform calibrations and acquire data. Participate in the development
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Postdoctoral Research Associate to join our research group working at the intersection of advanced manufacturing, computational modeling, and machine learning. This position offers an opportunity to contribute
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any of the following areas is desirable Collection and analysis of dense nodal seismic datasets Numerical simulations of the seismic wavefield High-performance computing Machine learning applications in
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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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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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equitable scholarly environment in research, mentoring, and service. Your work will focus on the SEAMLESS (SEmi-Automated Machine LEarning Search for Semi-resolved galaxies) survey, whose goal is to identify