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safety, quality, and processing. This position involves performing routine technical and specialized tasks, which may include Python programming as well as training and testing machine learning models
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management practices, evapotranspiration tools, and on-farm water decision support system tools. Experience in data analysis and familiarity with a programming language such as R, Python, or MATLAB. Experience
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Science, Engineering, or related major at Oregon State University Proficient in Python, including scripting, API interaction (REST/JSON), and basic data processing Comfortable using Git and GitHub
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using Microsoft Excel and/or programming languages such as R, Python, or MATLAB, with an emphasis on hydrological, agronomic, or environmental datasets. Familiarity with evapotranspiration estimation
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supervision, as well as basic data analysis and archival using a common coding platform like Matlab or Python. The incumbent will be expected to be able to work independently as well as in a team with the PI
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oversight/student supervision, as well as basic data analysis and archival using a common coding platform like Matlab or Python. The incumbent will be expected to be able to work independently as well as in a
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Ph.D. in Biology, Genetics, Bioinformatics, or a closely related field. Demonstrated experience in computational data analysis, including the use of scripting languages such as R and/or Python
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of biological science); OR an equivalent combination of training and experience. Requirements : Experience using R and/or Python Ability to work in a team environment that includes diverse backgrounds, perspectives, and
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may have additional Criminal History Checks every 2 years. Preferred (Special) Qualifications Computer Science or related major Cybersecurity course work Knowledge of Python, Bash, Powershell, or other
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tools (e.g., Excel, Python, R, or similar platforms). Familiarity with UAV image collection and remote sensing data processing; holding a FAA-certified drone pilot license (or willingness to obtain one