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Number: 6268974 University of California Irvine Postdoctoral in Magnetic Resonance Imaging Position overview Salary range: A reasonable estimate for this position is $66,737-$80,034 for Exempt and $31.97
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take place in the Quantitative Radiomolecular Imaging & Therapy lab (Qurit.ca) with the guidance and support of Drs. Arman Rahmim, Carlos Uribe, and other members of the lab. The fellow will collaborate with
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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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About the Role We are in search of exceptional, self-driven postdoctoral research associates (PDRAs) to join a dedicated team in developing and testing a groundbreaking minimally invasive device
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About the Role We are in search of exceptional, self-driven postdoctoral research associates (PDRAs) to join a dedicated team in developing and testing a groundbreaking minimally invasive device
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THIS IS A RE-ADERTISEMENT. PREVIOUS APPLICANTS NEED NOT APPLY. Applications are invited for a Senior Medical Statistician, to join the Primary Care Clinical Trials Unit (PC-CTU) trial statistics team. The successful applicant will be expected to contribute to all statistical aspects of clinical...
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Level A) Based at our St Lucia Campus About This Opportunity This is an exciting opportunity for a Postdoctoral Research Fellow/Research Officer to focus their efforts on developing their expertise and
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to challenge themselves to find the best solutions for our patients. The AbbVie Postdoctoral Program is one way we are doing just that. AbbVie Postdoctoral Fellows serve as technical experts who investigate
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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image