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workflows shared across the Software & Applications and Technology & Engineering verticals, using tools such as Ansible, Python, and GitHub Actions, and Azure DevOps. Contribute to infrastructure-as-code
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workflows shared across the Software & Applications and Technology & Engineering verticals, using tools such as Ansible, Python, and GitHub Actions, and Azure DevOps. Contribute to infrastructure-as-code
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. Or, Master's degree in Data Science, Environmental Science/Engineering, or related field. Two years of related experience. Experience working on spatial data processing using ArcGIS, R, and/or Python. Experience
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of hydrologic processes, transboundary/shared water resources management, and coupled human–natural systems. Proficiency in geospatial and scientific computing tools (e.g., Python, R, GIS, Google Earth Engine
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annotation, comparative or population genomics, command-line work in a Linux/HPC environment, and scripting in at least one of Python, R, or Bash. Hands-on molecular biology (DNA extraction, library
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. Prepare and mount herbarium specimens for archival. Comfortable with manipulating SQL database structures. Write and/or run Python scripts to automate tasks. Knowledge of diseases, insects, and pests
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remote sensing and UAV flight operations. Proficiency with photogrammetry and GIS software (e.g., Pix4D, Agisoft Metashape, ArcGIS, QGIS). Strong data analysis skills using Python, R, or similar analytical
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• Bioinformatics and data analysis using R and Python • AI/ML-assisted biological data analysis. • Expertise in assay development for new compounds and ingredients. • Ability to manage laboratory personnel
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. Proficiency in scientific programming (e.g., Python, Fortran) for data processing, model development, and computational analysis. What You Need to Know Salary: Compensation for this position is commensurate