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of molecular, spatial, histopathological, and clinical data. Computational and statistical analyses will be performed primarily using R. The research is carried out in a multidisciplinary environment and in
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Primary Unit Earth and Spatial Sciences Employee Category Faculty Classification Group Title Regular Faculty Position Control Number 4530 Suffix 00 Contingency Code Not Applicable FTE 1 Contract Basis
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biology, simulation, data visualisation, bulk / single-cell / spatial RNA-sequencing analysis. Skills Terms programming; R; Python; Statistical methods; machine learning; differential expression; bulk
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the vulnerability and adaptive capacity of pilot cities (WP3 – Health, risks and vulnerability): developing risk indices for outdoor activities and assessing, at different temporal and spatial scales
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University of California, Los Angeles | Los Angeles, California | United States | about 15 hours ago
approaches to identify and validate therapeutically actionable pathways. • Develop, optimize, and implement organoid models and integrate these systems with genome editing, single-cell and spatial profiling
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(Extended Temporary) (Part-Time) Posting Number req27198 Department Sch of Nat Resource&Enviro-Res Department Website Link https://snre.arizona.edu/ Location Tucson Campus Address 1064 E. Lowell Street
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of brain development and neurodevelopmental disorders. This person will apply and develop computational methods to analyze datasets of varying modalities, such as RNA-seq, ATAC-seq, and spatial
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/Python (spatial data processing, zonal statistics, raster/vector integration). ○ Experience or interest in conducting qualitative or mixed-methods stakeholder research (e.g., focus group facilitation
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. Demonstrated experience in analysing mobility, exposure, environmental or other spatially and temporally referenced data. Strong quantitative and statistical analytical skills. A strong publication record
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
from multiple sources; apply quantitative, statistical, and, where relevant, geospatial methods; and contribute to data products, visualizations, and research outputs. Working with an interdisciplinary