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and 2-photon optogenetics to investigate how perturbations of early network function impact development. Qualifications Preferred candidates will have a Ph.D. or equivalent in neuroscience, biology, or
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disease, and ALS. Our research utilizes a multidisciplinary approach incorporating mouse models, molecular/cellular biology techniques, and analysis of human postmortem brain and spinal cord tissue
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to study genetically defined neuron types involved in perceptual function and dysfunction in behaving rodents. Our new GEVIs and imaging approaches (see Kannan, Vasan et al., Nature Methods , 2018; Science
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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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). 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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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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advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical image processing, registration and analysis and a long-term
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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