23 computer-science-image-processing Postdoctoral positions at University of Minnesota
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Informatics (IHI), University of Minnesota, Twin Cities. Dr. Bayat’s team develops highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and
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prior surgery experience and optical imaging experience is preferred. However, any qualified individual with the tenacity and willingness to learn and take on a complex project would be favorably
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). Areas of biomedical engineering research include: Bioinstrumentation and Medical Devices, Biomaterials and Micro/Nanofabrication, Biomechanics, Biomedical Optics and Imaging, Biomolecular, Cellular, and
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, perform imaging on Krios and/or Glacios microscopes, perform data processing and refinement for structure determination. Required skills include expert protein expression and purification skills and
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in infant data processing and analysis. Present novel discoveries at international conferences
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prototype device into a minimum-viable-product that can be utilized in hospitals and clinics. The postdoc will assist the laboratory in equipping the current prototype device with new features and
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in data processing and analysis. Present novel discoveries at international conferences. Publish
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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job An NIH-funded postdoctoral position is available for a two-year program in the laboratory of Brendan Dougherty within
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular