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Field
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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, they must ensure a sufficiently high level of accuracy to guarantee the reliability required for systems demanding high durability, reliability, and safety. The scientific vision of DuraSyS-PAC is to address
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computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine learning, with practical
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historians Integrate top-down LLM hypotheses with established bottom-up vision pipeline (existing: dhSegment/Eynollah line extraction, damage detection models, 280M+ character image database) Assist in
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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in vision science. The post arises as a follow-on from a UKRI and Wellcome Trust funded project that was part of the “Physics of Life” initiative, bringing together researchers from the physical
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/ Location Main Campus Address 1235 E. James E. Rogers Way, Tucson, AZ 85721 USA Position Highlights The postdoctoral scholar will conduct research into hyperspectral imaging of geological and mining materials
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 4 hours ago
approaches in the lab Develop original research ideas aligned with the lab’s vision Guide and supervise students (from Bachelor’s to PhD level) Present research findings at lab meetings, institute seminars