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Field
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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or Biomedical Engineering or a closely related field. Preferred Qualifications: PhD in medical applications of physical sciences and engineering. Experience in medical imaging, breast x-ray imaging, image
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and forward-looking environment in which colleagues can develop their careers and contribute to shaping the future of computer The Role The role focuses on advancing research in explainable and
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. Execute Data Science Workflows: Utilize Montana State University’s Tempest Supercomputer to process large imaging datasets and generate distribution heat maps. Collaborate Across Institutions: Coordinate
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data with clinical, cognitive, imaging, genetic, and biomarker measures across longitudinal cohorts. This includes participation in biospecimen-based research and efforts to harmonize tissue and
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain
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imaging in molecular systems, as demonstrated by scientific publications in the field. Required skills include operation and alignment of laser instrumentation, and programming experience in e.g. MATLAB