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organized, self-motivated, and have excellent communication and interpersonal skills. Proficient in or familiar with data analysis using computational platforms, e.g., R or Python. What You Need to Know
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scenarios. The researcher will develop profit–risk–environment tradeoff products, build reusable R/Python workflows, and publish and present results in collaboration with USDA-ARS and university partners
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, Python, GitHub, fieldwork, laboratory workflows, or grant/manuscript development. Experience with R, Git/GitHub, phylogenomic or population genomic workflows, GIS/spatial analysis, herbarium curation
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cooperatively with others. Preferred Qualifications: • Proficiency in handling remotely sensed geospatial datasets and programming languages, particularly R or Python. • Knowledge, experience, and
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, Python, Linux/Unix, and statistical analysis. Experience with microbiome, transcriptomics, proteomics, or metabolomics datasets. Strong publication record and excellent communication skills. Preferred
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, transcriptomics, metabolomics, phenomics, microbiome) for predictive modeling and biological interpretation. •Proficiency in Python, R, AI/ML frameworks, and bioinformatics pipelines for high-throughput data
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. Responsibilities: Conduct empirical research on responses to hazardous weather using mobility data Clean, manage, and analyze large mobility datasets using python and modern econometric and computational tools
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whole-farm simulation model analyses for AFPC clientele including House and Senate Agriculture Committee staff and other stakeholders. Performs and reviews simulation modeling using FarmESP, AFPC’s Python
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version control. Security Engineering & Automation Evaluates and implements new security technologies and integrations. Develops and maintains automation scripts using PowerShell, Python, WMI, and vendor
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workflows shared across Software & Applications and Technology & Engineering verticals, using tools such as Ansible, Python, and GitHub Actions, and Azure DevOps. Contribute to infrastructure-as-code