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Field
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to develop research on socio-spatial disparities and their impacts on access to essential services such as education, health, and infrastructure. The successful candidate will also work on analyzing and
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techniques such as single-cell and spatial transcriptomics, genome-wide DNA methylation analysis, CRISPR/Cas-mediated genome editing, pluripotent stem cell differentiation, neural precursor cell and neuronal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours 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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runoff under climate change, and Analyze changes in marine ecological (phytoplankton) communities during and after freshwater extremes (low-salinity pulses) at multiple spatial and temporal scales
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learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying
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research, with a focus on understanding the molecular mechanisms driving lymphoma progression and therapy resistance. This position will leverage cutting-edge approaches including spatial transcriptomics
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. Integrate geophysical results with spatial datasets (e.g., DEMs, sediment maps, archaeological site records) using QGIS and other open-source tools. Supervise and participate in test excavations of identified
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to: fuse CHIME hyperspectral data with Sentinel-2’s (or other satellites’) multispectral imagery to enhance spatial and temporal resolution for precision agriculture, land degradation monitoring or water
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and strengthen societal capacity to address the climate and biodiversity emergencies. The project will generate spatial-temporal datasets from various sources including Spaceborne Satellites, Drones, In
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packages for data processing and simulation. Analyze high-throughput photon event data to extract spatial and temporal correlations. Collaborate with experimental staff on algorithm validation and feedback