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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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University of California, Los Angeles | Los Angeles, California | United States | about 20 hours ago
and moving images; professional setups and standard practices; post-production techniques, tools, and processes; instruction in basics of shooting, editing, output, and display; and, instruction in use
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will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI
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patient-focused Radiologic Technologist to join our Student Health Center team. Working under the direct supervision of the Radiology and Laboratory Services Manager, this role provides high-quality imaging
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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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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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process engineering, electrical engineering, materials science, and/or cold plasma diagnostics will be considered an asset. A strong interest in experimental physics is required. Curiosity, rigor, autonomy
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collaboration with groups at CERN and the nuclear chemistry department at CTU. Note that this call is only for funding. Students also have to apply to our PhD program (Nuclear Engineering, see details at https
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at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file