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Overview RUTGERS CANCER INSTITUTE VISION , MISSION , AND CORE VALUES : VISION : Through our science, our evidence-based actions, our openness, and our respect for those we serve, we will advance
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contribute to the development, deployment, and evaluation of advanced AI and computer vision systems in real-world urban environments. The work will focus on building and operating AI testbeds across
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION
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machine learning, deep learning, natural language processing (NLP), computer vision, or large language models (LLMs) for biomedical or healthcare research. Experience integrating and analyzing multimodal
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to outstanding candidates from diverse scientific and medical backgrounds, including Biology, Medicine, Physics, Computer Science, and Engineering, who wish to pursue their research within one of our
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machine vision species classification, web scraping, environmental DNA, satellite imagery) and agent-based models and ecological simulations. Our recent work, funded by the Monash Data Futures
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Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering) Employer NEW YORK UNIVERSITY ABU DHABI Location Abu Dhabi, United Arab Emirates Closing date 27 Sep 2026
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., IEC 61508 or ISO 13849) Experience with digital twins or simulation-based testing of automation sequences Experience with computer vision for inspection, sample identification, or quality control
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., IEC 61508 or ISO 13849) Experience with digital twins or simulation-based testing of automation sequences Experience with computer vision for inspection, sample identification, or quality control
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other duties as assigned. Requirements 1. Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with expertise in computer vision or medical image analysis. 2