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, including optical instrumentation, prototype device assembly, sensor characterisation, or microfluidics. Desirable: B1 A PhD in a relevant field (e.g. physics, engineering, applied photonics, or analytical
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, functional, and molecular imaging data. This multimodal technology is optimized for preclinical research in oncology, neurobiology, embryology, and cardiology. Its non-invasive nature allows longitudinal
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Computer Engineering. Expertise in computer vision algorithms and image processing techniques (such as object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as
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Engineering, or related field. • Demonstrated expertise in deep learning and AI methodologies. Experience in medical image analysis, particularly applied to cancer research (pathology, MRI, CT scans) preferred
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of patients, staff, and themselves. Serving as a liaison between the patient and physician, this role guides patients through the imaging process, provides education and reassurance, and facilitates effective
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of patients, staff, and themselves. Serving as a liaison between the patient and physician, this role guides patients through the imaging process, provides education and reassurance, and facilitates effective
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, as well as in scientific computer tools for data and image analysis (ImageJ, Image Lab and GraphPad). Participation in scientific dissemination activities (conferences, seminars, Research Night, Area
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at California Institute of Technology More Jobs from This Employer https://main.hercjobs.org/jobs/22171081/graduate-affairs-coordinator-options-manager Return to Search Results
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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engineering, including (but not limited to): Imaging and Biomedical Devices: advanced biomedical imaging technologies; neuroimaging, optical imaging; ultrasonic imaging; multimodal and hybrid imaging systems