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, analysis, architecting, and design is desirable. Smart, Connected, and Healthy Communities: Smart Integrative Energy Systems The Ezra Systems Post-Doctoral Associate on the track of Smart Integrative Energy
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experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex
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synchrotron and X-ray free-electron laser (XFEL) facilities for exploring transient states with high temporal and spatial resolution. Although the maximum salary for the position is $117,925, the actual range
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analysis is essential. If you also bring experience in cell culture, tissue micro-dissection, or fluorescence imaging, these skills would be valuable additions to our team. We're particularly interested in
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cutting-edge multi-omics at bulk, single-cell and spatial scales with computational analyses to investigate transcriptome, epigenome and chromatin architecture. Combine multi-omics with flow cytometry and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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platforms, Docker). · Experience with GIS/spatial analysis and traffic simulation or microsimulation tools. · Evidence of scholarly productivity (peer-reviewed manuscripts) and experience
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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to develop novel enabling technology on hydrodynamic stability analysis that has applications in the study of the development of singularities, the long-time behavior of complex systems, the formation
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fields. Applicants should have a range of quantitative skills including graduate-level knowledge of spatial data analysis, data management, statistics, and machine learning/computer vision. Advanced