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Field
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NIH awards is available in the The Peng Lab (Department of Ophthalmology, UCLA). Our laboratory combines single-cell multiomics (scRNA-seq, scATAC-seq, spatial transcriptomics), cell-surface proteomics
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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-academic audiences. Preferred Qualifications ● Familiarity with spatial data associated with biophysical aspects of ecosystem service modeling, mapping and valuation ● Familiarity with Minnesota natural
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 6 days ago
inform representations and encoder adaptations. This activity will provide hands-on experience in making three-dimensional vegetation structure accessible within data-driven geospatial modeling processes
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Expertise in one or more of spatial/landscape/community ecology, trait-based/functional ecology, macroecology, or ecological modelling Strong conceptual thinking in ecology Experience with predictive
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 6 days ago
regions where ground radar and gauge networks are sparse. In the reverse direction, high-resolution precipitation fields (e.g., MRMS) provide spatially distributed validation for fine-scale soil moisture
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 7 hours ago
wavelengths enables the derivation of the fractional surface coverage of coherent rock. Thermal modeling can also reveal spatial variability in the density of the fine-grained regolith. These physical
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resistance. This work will integrate spatial transcriptomics, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA
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and damaging storms, and cascading risks such as bark-beetle outbreaks. Forest owners and regional authorities need spatially detailed, timely information on where climate stress is emerging, and which