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on fishery community profiling using established methodology; scholarly review and compiling datasets; statistical and spatial analysis; archival, ethnographic, and participatory research; GIS and social
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on this position will be the development and implementation of novel statistical and computational methods with applications to system biology problems and spatial transcriptomics datasets. The work will involve
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. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data
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-organization during pre-implantation development, in close connection with experimental data from live imaging and spatially resolved gene expression profiling. The work of the PhD fellow will be theoretical and
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/nondiscrimination/ Online reports may be submitted at oeo.utah.edu https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary
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/nondiscrimination/ Online reports may be submitted at oeo.utah.edu https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary
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air quality and emissions measurement instrumentation and systems (e.g., PTR-MS, GC-MS). Strong expertise in advanced statistical, numerical, and spatial data analysis for large-scale datasets is
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lack reliable uncertainty quantification. The methods developed in the project will tackle these shortcomings, enabling computationally efficient inference and prediction of gas dynamics at high spatial
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current projects, we are applying single cell genetic tools to describe the transcriptomic landscape of Hodgkin lymphoma. We are also interested the application of spatially resolved transcriptomic data
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are organised into spatial zones within the hepatic lobule (liver’s architectural units), and hepatocytes maintain zonal gradients of gene expression profiles and metabolic programmes. With recent advances