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between clinics and hospital. Qualifications: Minimum Qualifications: Graduate of an approved Radiology Technology program Registered or eligible by the American Registry of Radiologic Technologists
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the exciting and emerging field of psychedelic medicine (https://adaptroadmap.org). The other half of this position will focus on imaging and behavioral studies of populations at risk for or with mental health
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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and molecular cloning techniques, including C. elegans CRISPRand genetic engineering, computational imaging using confocal microscopy, and C.elegans culture. Experience in scientific publication, grant
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participate in the performance evaluation process. We require these qualifications: Bachelor’s degree in chemistry, safety, industrial hygiene, environmental, engineering, or closely related field. Two to four
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process. They work closely with radiologists and other healthcare professionals to accurately capture and interpret breast images for early detection of breast cancer. Their primary duties include
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the imaging process. They work closely with radiologists and other healthcare professionals to accurately capture and interpret breast images for early detection of breast cancer. Their primary duties include
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Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering
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and industrial partners of the project, including Unilever, Shadow Robot Company, Ocado Technology and MathWorks. More details of the project can be found in the following link: https://www.kcl.ac.uk
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for