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mechanism using surface on in-volume spatial variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline
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/spatial multi-omics and epigenomic data in applications spanning development, cancer, neurodegeneration, and immunology. Publish in top venues, present at major conferences, and contribute to open-source
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. Experience with Bayesian methods, graph/network analytics, reinforcement learning, or other advanced AI approaches relevant to industrial systems. Experience with geospatial analysis, spatial data integration
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cut lung slices, transgenic rodent models, preclinical models of lung fibrosis, in vitro and in vivo testing therapeutic candidates, scRNAseq, spatial transcriptomics, confocal and electron microscopy
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studies of surgical patients, in vivo mechanistic studies (mice), and in vitro human primary cell experiments. Current studies focus on single-cell spatial transcriptomic characterization of the human
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sense, including housing, macroeconomics, labor, urban, spatial economics, political economy, and conflict). Excellent communication skills in English. Ability to work in teams Applicants must submit a
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-based microarrays, immunohistocheistry, spatial transcriptomics and molecular analysis. The candidate is expected to be able to summarize data for inclusion in grant proposals and manuscripts; prepare
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experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex
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synchrotron and X-ray free-electron laser (XFEL) facilities for exploring transient states with high temporal and spatial resolution. Although the maximum salary for the position is $117,925, the actual range
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received after the review date will only be considered if the position has not yet been filled. Position description The Spatial Climate Solutions Lab at the University of California, Santa Barbara, is