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the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in
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: LastName_Cover Letter) Writing Sample 1 (file naming protocol: LastName_Sample1) Please submit 1 attachment containing the following information (for proper formatting, please refer to the sample image in
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programming skills Preferred Qualifications Track record of top-tier machine learning publications Experience with machine learning on medical images Experience designing language model or vision–language model
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and application of imaging methods for pulmonary disease, with a particular emphasis on magnetic resonance (MR) imaging using hyperpolarized 129Xe gas. The initial appointment will be for 1 year, with
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that will be employed include flow cytometry, confocal and electron microscopy, in vivo two photon imaging, behavioral studies and transcriptomic techniques. The successful candidate will join the Center
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. Applications without all required documents will not receive full consideration. Internal applicants: Apply through your Workday profile by searching “Find Jobs.” Reference Check Process: Reference checks will
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and imaging mass cytometry, and RNA sequencing. Disease areas of interest are fibrotic lung diseases such as idiopathic pulmonary fibrosis, pulmonary graft-vs-host disease, acute respiratory distress
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at least two of these areas is preferred: addiction research, neuromodulation, behavioral research, neuropharmacology, and surgery. Proficiency in Microsoft Word, PowerPoint and Excel is strongly preferred
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. Internal applicants: Apply through your Workday profile by searching “Find Jobs.” Reference Check Process: Reference checks will be completed by UVA’s third-party partner, SkillSurvey, during the final phase
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University policy. For additional information about the position, please contact Dr. Ahmad Jomaa at vve5sr@virginia.edu For questions about the application process, please contact Eric Allen, Academic