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Field
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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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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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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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. 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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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
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce
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. The project aims to significantly accelerate the adoption of quantum approaches within life sciences and demonstrate their transformative potential for biomedical imaging. Your Profile: The successful applicant
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images in the field of stroke, specifically working with non-contrast CT, CT-angiography and CTPerfusion files. Additional Information Benefits Labour conditions: Part-time position: 10 hours per week
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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical