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Field
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spatial light modulators such as LCoS, and DMD, and with beam steering modalities to control such devices. Knowledge of interfacing camera and detectors to opt-electro-mechanical system. Excellent verbal
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computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running
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participating in the collaborative development of: (1) spatially explicit baseline data of cropping practices, including identification of representative crop rotations, and (2) spatially explicit baseline
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, particularly single-cell RNA sequencing, spatial transcriptomics, and related approaches. Our research group uses single-cell genomics to study immunity at mucosal sites, with a focus on the lungs and
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hydro-climate studies. Strong background with GIS tools and spatial analysis techniques. Demonstrated expertise in climate variability assessment and the use of climate models. Experience with
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time of employment, and the degree may be in sociology, psychology, political science, or related areas. Demonstrated knowledge of statistics and research experience of social surveys of an East Asian
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related to single-cell spatial omics technologies and systems biology for disease diagnosis and molecular mechanism studies. Research directions include exploring DNA sequencing, bioanalytical chemistry
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generation; 2) vascular biology and vascular aging; 3) tissue regeneration and repair; 4) bioengineering or chemical engineering; or 5) single-cell RNA/ATAC sequencing analysis and spatial transcriptomics
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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive
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the Department of Geography at the University of Florida. This research focuses on quantifying the spatial variability of seasonal-to-interannual variations in total water levels along the U.S. Gulf and East