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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
or related Engineering or Physics. Required Qualifications, Competencies, and Experience PhD degree in Biomedical/Electrical or related Engineering or Physics. Experience with MRI acquisition and data analysis
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to funcional changes in mice, such as behavioural modulation and brain network activity by MRI. The candidate will use state-of-the-art optical tools: in vitro calcium imaging, in vivo fiber photometry
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the department and across departments can be pursued. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective
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of Research ExperienceNone Additional Information Eligibility criteria - PhD in Medical Imaging, Biomedical Engineering, Signal Processing, or a related field. - Strong expertise in MRI physics, preferably in
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100 older adults with modifiable AD risk factors. The goal is to combine blood biomarkers -including newly measured p-tau217- with advanced MRI measures (ASL, QSM) to understand who benefits most from
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About Us The post will be based at St Thomas’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is
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Position Summary This post-doctoral job posting is for an R01 funded position to conduct parcellation of non-neocortical brain structures into well-defined brain areas using multiple MRI modalities
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imaging (MRI). The position is within the Research Council of Finland (RCF) consortium project focusing on the development of low-field MRI hardware, sequences, image reconstruction and applications, in
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (or equivalent) in Neuroscience, Biomedical Engineering, MRI Physics, or a closely
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multiple imaging modalities—initially concentrating on whole-body and abdominal MRI—using UK Biobank imaging data. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old