24 medical-image-processing Postdoctoral positions at University of Minnesota in United-States
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the Department of Neuroscience and the Medical Discovery Team on Optical Imaging and Brain Science, based at the Center for Magnetic Resonance Research (CMRR)—a hub for cutting-edge MR and optical imaging
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). Prior experience in medical imaging & analysis and/or computer vision algorithm development using high performance computing (HPC). Publications in peer-reviewed technical/clinical journals or machine
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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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, 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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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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). 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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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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the Department of Rehabilitation Medicine, Medical School. The successful candidate will work towards an understanding of how sex hormones influence respiratory function and the expression of respiratory
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adapt to ever changing needs Preferred Qualifications: ● Research experience in natural language processing on biomedical and/or clinical texts, computer vision on medical images, causal inference