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Field
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. The successful candidate will be expected to: 1. Oversee Center operations, supervising two full-time PhD imaging specialists, who manage Center services, equipment maintenance, system repairs and service billing
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faculty position available within the Division of Imaging Sciences. This is a research track position with rank determined on the basis of experience and qualifications. A PhD degree in Chemistry with
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to the start of employment, qualified applicants must: 1) have a PhD in medical physics or related discipline, 2) be ABR certified or eligible in diagnostic medical physics or nuclear medical physics or ABSNM
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no prior experience in medical imaging are also encouraged to apply. The candidate should also demonstrate independent research capabilities and have good organizational and inter-personal skills. Excellent
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4th year medical students, PhD students, post-doctoral fellows, residents, and clinical fellows. The Department of Pathology and Laboratory Medicine at is comprised of over 1000 individuals working
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Job Summary A Research Scientist is available for candidates with a strong background in microscopy, metabolic imaging, image processing or related field. The candidate will investigate spatial
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training of new physicians (interns, residents, fellows, and attending's). If applicable. Assist radiologists and PhD's in developing new protocols and CT imaging techniques that are unique to facility
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to hear from you. Each year, almost 500,000 inpatient and outpatient exams and procedures are performed and interpreted at Cedars-Sinai Medical Center. Our Radiologists & Imaging Specialists are board
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cutting edge design and process development capabilities to accelerate and bring the best-in-class medicines to patients around the world. What You Will Achieve As part of the Animal Models and Imaging (AMI
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University of Utah/Department of Geography | Salt Lake City, Utah | United States | about 3 hours ago
, urbanization, and development. Candidates should have experience with cutting-edge computational methods, for example, machine learning, deep learning for image or text analysis, causal inference, data-driven