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skills in at least one language (such as Python, golang, JavaScript/TypeScript, or equivalent) Data Concepts: Understanding of database fundamentals, data types, and basic data modeling principles
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Python/related web application frameworks. Contributes to a welcoming working environment that fosters diversity and inclusion. This position is designated as a critical or security-sensitive position
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. Experience using AI/ML libraries in Python or R (e.g., TensorFlow, scikit-learn, PyTorch). Knowledge of or experience with environmental, ecological or agricultural modeling. Familiarity with integrating AI
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Excel, R, Python, or SQL. Must be proficient in English (oral and written) for effective communication with board members, staff, partners, and the public. Experience managing datasets and supporting QA
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Qualifications Enrolled in a Computer Science, Data Science, Engineering, or related major at Oregon State University Proficient in Python, including scripting, API interaction (REST/JSON), and basic data
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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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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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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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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