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For this position we require that you have a master degree in Computer science, computer engineering or a related subject. To be qualified for this position you need to have earlier experience in programming (Python
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analytics, remote sensing, GIS, and/or hydrology to join our team. This multi-institutional research program spans five institutions across the state of New Mexico including collaboration with Sandia National
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choose from several health coverage options offered by The Texas A&M University System for themselves and their families, as well as numerous other benefit programs. https://www.tamus.edu/business/benefits
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biostatistics and handling heterogeneous datasets (R or Python; GIS experience appreciated); • Solid knowledge of fire ecology, soil functioning, and/or biogeochemical cycles; • Strong interest in
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; - No employment contract, or proof of full unpaid leave, in accordance with FAPESP regulations . Desired Skills: - Proficiency in R, Python, and JavaScript (Google Earth Engine); - Geoprocessing and GIS
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performant solutions to computational problems using Python, Rust, or Julia. Modern frameworks for full-stack web development, including backend (Flask, Node.js), front-end (React, Angular), and/or GIS and
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and disinvestment are encouraged to apply Experience working with large and complex datasets Proficiency with one or more statistical coding languages, such as R, Stata, or Python Familiarity with Git
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programming skills in Python and R Experience in software development, particularly in dashboard or web application creation Familiarity with geospatial analysis, GIS tools, or related technologies is a plus
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(Matlab, Python, R, etc.) and/or geospatial software (e.g., GIS). Working Conditions / Work Schedule Posting Detail Information Posting Number P12667SE Number of Vacancies 2 Anticipated Appointment Begin
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trends. Experience with statistical computing programs including R, python, stata, or similar program. Experience with GIS and VamaNet or similar program. Pay Band {lPayScaleID} Overtime Status Exempt: Not