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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
tasks, including literature review, designing analysis to meet research objectives, and data analysis and visualization, including spatial and statistical analyses. The datasets are large and complex, so
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modeling, iPSC disease modelling, cell sorting, live cell imaging, spatial and single cell omics modalities, and advanced image processing and analysis, amongst a variety of other specific departmental
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phenomena that operate on a cellular scale. Faculty research employs a combination of advanced microscopy, genetic analysis, and molecular characterization to study the temporal and spatial mechanisms
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Analysis and Research Group (EPAR) Position Details Position Description The Daniel J. Evans School of Public Policy & Governance is a nationally top ranked public policy school, serving nearly 500 students
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-term in situ and remote sensing data analysis coupled with ecosystem modelling approaches (for instance, greenhouse gas fluxes and energy, water, and nutrient exchange data). Key focus will be
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-term in situ and remote sensing data analysis coupled with ecosystem modelling approaches (for instance, greenhouse gas fluxes and energy, water, and nutrient exchange data). Key focus will be
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group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group partners
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, and emerging AI-supported methods for analysis and discovery. Build reproducible, scalable workflows for data transformation, modeling, and long-term archiving. Support version-controlled collaborative
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Texas and the Gulf Coast region. Experience with geospatial analysis and spatial database management, and related tools and languages (e.g., GDAL; PostgreSQL/PostGIS). Responsibilities Data Strategy and
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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 biological