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, engineering, physics, mathematics or a similar domain. There is a strong preference for an applicant with a biomedical background. Experience with medical image processing, histopathology, computer vision
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dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing. We are seeking a Research Fellow with expertise in transmission electron microscopy (TEM
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will be responsible for the planning, coordination, and administrative management of preclinical studies conducted within SAIL and the CTB Technology Platforms. The incumbent will serve as the central
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engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
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procedure protocoling and performance. Start I.V.s, administer contrast media as directed and per protocol. Evaluate MR scans for technical quality, collate processed images and sequence of acquisition and
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transcript. Please be prepared to provide a copy should you be invited for an interview. EXPERIENCE: Two years cross sectional imaging and/or computer assisted imaging preferred with one year full time
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Research Assistant 2 position is based in Prof. Tal Arbel's research lab in the department of Electrical and Computer Engineering. This position provides research, technical, and administrative support for
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in addition to complex Digital Librarian computer job duties. The Admin Assistant III demonstrates complex and advanced EMIR Quality Assurance and PACS Image Quality Assurance competencies, following
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optical imaging (Leung Research Group) The Leung Research Group (https://sites.google.com/view/LeungGroup) in the Department of Intelligent Systems Engineering at the Luddy School of Informatics, Computing
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA