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support the Preclinical Imaging Shared Resource (PISR) within the University of Kansas Cancer Center and the Department of Cancer Biology. This position will develop and apply advanced preclinical imaging
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data acquired by mobile road monitoring systems using heterogeneous sensors, such as images, laser profilometers, GPS, and audio data, will integrate machine learning, computer vision, and image analysis
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), vision-language models (VLMs), large multimodal models (LMMs), agentic AI, federated learning (FL), physics-informed AI, and related emerging technologies applied to advanced semiconductor packaging
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interested in candidates with a strong technical background in medical image computing, machine learning, computer vision, or multimodal AI, together with excellent programming and communication skills
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field of genome sciences and the world. To learn more, visit https://genomics.tamu.edu/ . What We Want The Texas A&M University Preclinical and Phenotyping Core (TPPC) is seeking a highly motivated Senior
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research and teaching team in the field of image information engineering. The team’s work combines vision systems and computer vision, AI-based image data analysis, VR/XR technologies, and the integration
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at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs/22459844/imaging-supervisor-ct-i-university-hospital Return to Search Results
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recruitment and communication with community organisations and stakeholders; Supporting collaborations with blind and low-vision communities and accessibility organisations in Hong Kong; Collecting, organising
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integrating AI with vision at the edge. Despite recent advancements, the synergy between AI and computer vision remains constrained by fundamental imaging bottlenecks. Conventional HDR techniques frequently
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
clinical and research faculty, trainees, advanced practice providers, and professional staff across the full spectrum of diagnostic imaging, image-guided interventions, and radiological sciences