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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
thaliana. Techniques planned: * Imaging cytometry for quantitative analysis of subcellular metabolite localization. * High-throughput CRISPR screening. * Transcriptome data generation and analysis. * Cloning
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will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. About NYUAD
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data analysis, urban design, data visualization, and community engagement skills. The Postdoctoral Associate will work closely with the Center Director and staff, AAP faculty associated with
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Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST). We especially value candidates with strong technical skills for data-intensive research and statistical modeling. IU Astronomy has
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would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data visualization, and community engagement
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and are also involved in planetary missions and climate modeling. These research projects produce large data sets and require computational analysis and visualization. Your skills will make a difference
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the time at which the appointment decision is made. To be eligible for the position, you should have: Strong skills in programming and analytical tools, particularly R, including data visualization and
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subjects using observational cohorts and through clinical trial data from medical collaborations. An ideal candidate will be able to independently lead the genomic and metagenomic analyses for their own
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and Economic Development Boise State University invites applications for a Postdoctoral Research Fellow specializing in computational modeling and data science for water and energy resilience to join a
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deploy genome assembly, annotation, and functional profiling pipelines using long-read and Hi-C sequencing data. Integrate genomic and metagenomic results to identify key determinants of productivity and