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meritorious but not mandatory). Demonstrated expertise in image analysis, data science, or related computational research, with a strong track record in developing, applying, and supporting analytical methods
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departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
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quality, diversity, and biological relevance using standard metrics and expert review. Anonymised digital images from tissues in biobanks will be used to train generative models on university computing
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available from 1.1.2026 to 31.12.2028. The position This role offers a unique opportunity to apply and integrate advanced image processing techniques to progress the fields of biomedical and life sciences
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imaging method at synchrotron radiation facilities, particularly PETRA III at DESY. Samples, be they biological or from materials science, often have a hierarchical structure that determines their function
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or equivalent Specific Requirements Item 01: Academic diplomas (degree and master), related to data & image processing (punctuation: 25) Item 02: Enrolled in a PhD program related to Applied Geotechnologies
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robotics, electrical engineering, or computer science, with a strong background in robotic control, computer vision, and image processing – ideally in the context of computer-assisted surgery. You bring
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, Interventional CT, and Emergency Imaging in the Duke Medicine Pavilion, ED, and PORT (major surgery). What you will do: Perform complex specialized tasks associated with the operation of CT scanners, power
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 8 days ago
plan. State-of-the-art facilities are available for this purpose. Vetmeduni is equipped with a comprehensive technology platform for diagnostic imaging. The equipment includes a 3 Tesla MRI system, a 128
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motility. Identifies imaging instruments and modalities based on diagnosis. Knowledgeable in computer software for all imaging modalities. Demonstrates core knowledge of standardized imaging protocols based