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extraction methods Proficient in program R Proficient with spatial software (e.g., ArcGIS, R, QGIS) Proficient with Microsoft software Comfortable doing research in a remote location and in inclement weather
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skills: Strong modeling skills Familiarity with, and experience with statistics and econometrics Technical writing and communication skills Proficiency in statistical programming languages (e.g., R, STATA
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Organization DEVCOM Army Research Laboratory Reference Code ARL-R-HCxS-400052-F1 How to Apply Applications must be submitted in Zintellect . A complete application includes: Curriculum Vitae
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Experience in Linux and computational languages including R, and Perl or Python Experience in AI/ML modeling Knowledge of genetics, next-generation sequencing, genome assembly and annotation Strong oral and
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discipline. Desire and ability to conduct field research in agricultural settings. Experience using statistical software such as SAS or R. Experience in preparation of manuscripts for publication in peer
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). Degree must have been received within the past one year, or anticipated to be received by 1/1/2026. Preferred skills: Omics data analyses experience and track record to showcase knowledge in using phyton/R
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statistics, GIS, and R programming. Strong interpersonal skills. Excellent oral and written communication skills. Knowledge of entomology, invasion biology, and integrated pest management. Stipend $72,000.00
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Science, Engineering, Business, Data Science, Data Visualization). • Demonstrated experience in data visualization – dashboards (tableau, R shiny, etc.) • Demonstrated experience in GIS and spatial mapping
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audiences. We’re looking for someone who: Can apply data science to real-world problems. Is comfortable with Python, R, SQL, or similar tools for analysis and modeling. Can translate messy datasets
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to wrangle, clean, summarize and analyze qualitative and quantitative data using data analysis software, such as excel, R, and NVivo. The fellow will also gain experience in literature reviews, writing results