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Explore fundamental spin physics at the interface of acoustics and MRI, and help develop a new imaging contrast sensitive to microscopic magnetic-field inhomogeneities. Job description We
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in preclinical neuroimaging, MRI physics, neuroscience, computational data analysis, and multimodal biomarker development. The Yale Small Animal MRI Core provides access to high-field MRI (9.4T and
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The University of Nevada, Las Vegas invites applications for Postdoctoral Scholar, Neuroimaging, Health Physics and Diagnostic Sciences, School of Integrated Health Sciences [R0153454] ROLE
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
disease. The project offers access to a unique imaging environment spanning 3T, 7T, and 9.4T MRI systems, and close collaboration with experts in MRI physics, signal modeling, and neuropathology
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, Physics, Mathematics, Psychiatry, Psychology or Neuroscience. Note that this list is not exhaustive- candidates from other relevant backgrounds are welcome to apply); Experience working with brain MRI data
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methodologies to support interdisciplinary cancer research programs, including magnetic resonance imaging (MRI), optical imaging, micro-computed tomography (micro-CT), photoacoustic imaging, and image analysis
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post-doctoral fellows that work on advanced MRI techniques. The ideal candidate would have a Ph.D. degree in Electrical Engineering, biomedical engineering, Physics or related field with 1-3 years
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research MRI techniques and sequences to study patients with stroke and dementia, or at risk of these conditions, in large cohort studies as well as randomized controlled trials Perform other duties as
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highly motivated and talented Postdoctoral Researcherto work full-time in the field of medical physics and engineering, particularly on low field magnetic resonance imaging (MRI). The position is within
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Associate for a project which focuses on personalized, non-invasive neuromodulation as a treatment for severe mental illness. This position involves using MRI scans from clinical trial participants, who will