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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
to natural resources include managed landscapes such as agricultural systems and working forests, where irrigation practices create complex spatial and temporal patterns that are difficult to detect and
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applications. Additionally, the grant holder will collaborate in the development of computational tools, including statistical software in R or Python and interactive web applications for spatial data analysis
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Group or Departmental Website: https://plevritislab.stanford.edu/ (link is external) https://ccsb.stanford.edu/ (link is external) How to Submit Application Materials: Go to: https
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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Fire Safety Report contains statistics, policies, and procedures related to campus safety. Go here to review: https://safety.temple.edu/reports-logs/annualsecurity-report You may request a copy of the
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, the candidate will work in an interdisciplinary team of biologists, statisticians and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social
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of synchronised states using analytical and statistical techniques. Funding Notes This project is for self-funded or externally funded students only. References 1. Synchronisation of rotating turbulent (https://www
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the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the
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of differences in the workplace Preferred Qualifications: Experience conducting advanced spatial statistical analyses related to environmental health risks (hotspot analyses, spatial regression analyses) Written
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in Data Science and Statistics with expertise in the application of data science to spatial and space-time data from problems throughout the geosciences. The Department of Applied Mathematics and