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University of California Davis Health System | Sacramento, California | United States | about 2 months ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 29-Jun-25 Location: Sacramento, California Type: Part-time Categories: Academic/Faculty Medical Imaging Internal
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physician to join the Division of Cardiovascular Medicine, Advanced Imaging Section as the Program Director for Cardiac CT. Academic rank and track commensurate with academic record and experience. Position
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programs considered among the best in the nation, such as engineering, information systems, neuroscience, physician assistant, physical therapy, sales, logistics, fashion merchandising and design
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corrections, as directed; remain knowledgeable of changes in technology and be familiar with program capabilities. Be able to assist students. 4. Provide administrative support to the Department Chair and
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treatments, progress notes, imaging, and physician communications. Collaboration & Communication: Maintains consistent and effective communication with assigned coaching staff and strength & conditioning
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medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with significant research experience and deep familiarity with AI
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application-inspired. In our Department System Process Engineering, we are seeking for a Post Doc (m/f/d) – 100 % in non-invasive measurement methods for process and quality control During agricultural-related
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imaging QUALIFICATIONS Successful applicants will have: a PhD in medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with
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vacation. Academic rank and track commensurate with academic record and experience. Qualifications: MD or DO Successful completion of an accredited Neurology Residency Program Board Certified or Board
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Sapey, provides robust support for projects involving big data and Artificial Intelligence (AI), including Natural Language Processing, Computer Vision, Machine Learning, and Deep Learning. The team’s