73 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at The University of Arizona
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, Electrical and Computer Engineering, Computer Science, or a related field of study. Selected applicant must have PhD conferred upon hire. Preferred Qualifications Experience with wireless simulation tools (e.g
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Qualifications PhD in Robotics, Electrical & Computer Engineering, Mechanical Engineering, Biomedical Engineering, Computer Science, or closely related field. Must have PhD conferred upon hire. Preferred
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Sign In Create Profile Postdoctoral Research Associate, Electrical and Computer Engineering Tucson, AZ, United States | req24106 Apply Now Share Save Job Posted on: 10/6/2025 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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computing proposals as well. Start date ranges from August – October 2026 Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation
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- Telemedicine (COM-T) Posting Number req24676 Department Arizona Telemedicine Program Department Website Link https://telemedicine.arizona.edu/ Location University of Arizona Health Sciences Address Tucson, AZ
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Research Associate II - Telemedicine (COM-T) Posting Number req24676 Department Arizona Telemedicine Program Department Website Link https://telemedicine.arizona.edu/ Location University of Arizona Health
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, proteomics, metabolomics) and artificial intelligence/machine learning (AI/ML) applications in biomedical research will be considered a strong advantage. Outstanding U of A benefits include health, dental
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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
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Experience with super-resolution ultrasound, US localization microscopy, photoacoustic imaging, elasticity imaging, pulse encoding, solving inverse problems, machine learning, AI, SolidWorks, 3D printing FLSA