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for immunohistochemistry. This person should be able to carry out these steps with minimal instruction, given only the desired end results. 3. Assistance with the design and implementation of an imaging pipeline for multi
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, arranging, and describing photographic prints and negatives. The Fellow also builds out digital access to the collections by digitizing and describing images according to established departmental procedures
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, arranging, and describing photographic prints and negatives. The Fellow also builds out digital access to the collections by digitizing and describing images according to established departmental procedures
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, arranging, and describing photographic prints and negatives. The Fellow also builds out digital access to the collections by digitizing and describing images according to established departmental procedures
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collaboration with hospitals or medical researchers. Understanding of radiology/pathology imaging interpretation. Other Advantages Publications or strong project portfolio in computer vision/medical AI
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computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus on computer vision, image processing
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science, or mathematics (or a related field), with a focus on robot vision and control, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming
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Involvement and Engagement (PPIE) Lead. The project addresses the growing demands on glaucoma care by developing an AI-enabled triage platform that integrates retinal imaging, clinical data, and machine
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demonstration of centrifuge technology. The successful candidate will participate in research and development (R&D) activities that strategically advance science and technology focused on gas testing of prototype
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preferred Familiarity with behavioral neuroscience assays, especially pain-related behavioral testing preferred Prior experience with immunohistochemical, molecular, or imaging-based analyses preferred