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solutions. For more information about DHS visit: https://www.dhs.gov/mission. Project The DA-TC is seeking candidates who have the academic background to engage in the following projects. Projects will be
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), National Animal Disease Center, Virus and Prion Research Unit, located in Ames, Iowa. For an introduction to the Flu crew at the National Animal Disease Center, please see: https://youtu.be/kOJy8tFTuiI About
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/statistical skills Experience with statistical analysis software (e.g. R, SAS), GIS software (e.g., ArcGIS, QGis), and programming languages (e.g., R, Python, C++). Experience or interest in science integration
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within the past five years, or anticipated to be received by 7/1/2028. Preferred skills: Programming language appropriate for data analysis and visualization, such as Python, Knowledge of acquiring
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++, Fortran, Matlab, Python), and Basin model development (PetroMod). It is recognized that not all applicants will have knowledge and experience in all of these areas. This opportunity will provide exposure
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++, Fortran, Matlab, Python), and Basin model development (PetroMod). It is recognized that not all applicants will have knowledge and experience in all of these areas. This opportunity will provide exposure
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practices in the US agriculture. Proficiency in R, Python, Matlab, or other common programing languages (e.g., C/C++). Strong computational skills. Strong oral and written communication skills. Stipend
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improvements focused on vegetative effects on sediment transport. Data processing and analysis will be performed in the MATLAB, Python, Fortran, or R programming languages. Where will I be located? Location
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. Degree must have been received within the past five years or anticipated to be received by 5/31/2026. Preferred skills: R, Python, and Microsoft software Statistical analysis tools. Familiarity with ArcGIS
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implementing and evaluating precision technologies. Experience in the use of scripting languages (e.g. python, R, etc.) Experience performing multivariate statistical analyses and using statistical analyses