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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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responsibility. 3) Scientific analysis and interpretation: - Develop advanced analysis methods to quantify bedload transport: full responsibility. - Interpret results and propose explanatory models: primary
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are not fully integrated into the exploration of subsurface exploration workflows due to data resolution limitations and challenges in modeling. This knowledge gap limits our understanding of resource
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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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
variability and natural disturbances. The research will integrate NASA Earth observations, spaceborne LiDAR measurements, hydroclimatic information, and Earth-observation foundation models to move beyond static
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immunotherapies for cancer patients with brain metastasis. Our group works at the interface between immunology and cancer biology combining the use of preclinical models of cancer and human samples with state
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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 | 9 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