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cultural diversity and urban public space. The fellow will support the implementation of research activities across three main themes: 1. Urban Landscape Mapping – assisting in the collection and spatial
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
to natural resources include managed landscapes such as agricultural systems and working forests, where irrigation practices create complex spatial and temporal patterns that are difficult to detect and
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activities through field surveys and data analysis; 4. collection, processing and analysis of samples for environmental DNA (eDNA) aimed at species detection and spatial distribution assessment; 5. performance
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, etc.). We use a variety of techniques such as confocal microscopy, single cell RNAseq, spatial transcriptomics, mouse genetics, and behavior to address how microglia modify synapses and, in turn, how
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maintain algorithms in biomedical image analysis pipelines. Validate algorithm performance on novel datasets. Analyze spatial transcriptomic data. Perform statistical analyses on data extracted form bio
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completion of project deliverables including but not limited to; the preparation of mapping documents, data formatting, and performing advanced GIS analysis. Using GIS tools, geometry types and spatial
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cutting-edge single-cell, spatial, in vitro, and surgical approaches in multiple model species and in human organoids to investigate the uterine endometrium and maternal-fetal interface, with the goal
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, multivariate statistics, spatial and spatiotemporal analysis, sports analytics, and statistics and data science education. We seek candidates who will complement and extend these research areas. We seek
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in any of the following areas would be highly valued: prior work on fishery community profiling using established methodology; scholarly review and compiling datasets; statistical and spatial analysis
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analysis of spatial-omics and imaging data, developing a framework for simulations, simulating epidemics on social networks, building generative models to improve computation time for simulations, and other