17 computer-science-image-processing Postdoctoral positions at University of Minnesota
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-learning, deep-learning, chemometric, or related computational methods to imaging, spectral, sensor, process, environmental, or other complex scientific data. Strong quantitative data-analysis and scientific
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experimentation: 70% • Design, perform, analyze, and interpret experiments spanning neuroscience, molecular biology, immunology, genomics, imaging, and behavior. • Develop and troubleshoot new techniques and models
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electrophysiological data sets. Trainees will also have opportunities for clinical exposure through our robust deep brain stimulation and movement disorders clinical research program. Candidates may refer to the below
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for immunological tolerance during autoimmunity and transplantation, directed at therapeutic intervention strategies. We are using autoimmune animal models to understand biological processes involved with autoimmune
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engineered models. • Small-animal surgery, colonoscopy/endoscopy, or in vivo imaging. • Tumor–immune cell co-culture systems. • qRT-PCR, Western blotting, immunofluorescence, immunohistochemistry, or related
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(Midavaine et al., Science, 2025). Building on this foundation, the lab combines mouse genetics, single-cell and spatial transcriptomics, in vivo calcium imaging, sensory behavioral assays, and molecular
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Biostatistics, Statistics, or a related field, strong computing/programming and communication skills, and a strong interest in omics and/or imaging data analysis are required. Experience in Bayesian high
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postdoctoral researcher to contribute to an NIH-funded project focused on developing innovative techniques and hardware for ultrahigh-field magnetic resonance imaging, with an emphasis on ultrahigh-resolution
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mice -Xenotransplantation if human cells and PDX models -IP, SQ, and IV injection of cancer and immune cells -Bioluminescent imaging of mice -Caliper measurments and calculation of tumor volumes Routine
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goals. Our research focuses on neurovascular signaling, utilizing mouse genetics, molecular and protein-biochemical methods, cell biology, and various -omics methods. Currently, we are exploring