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or Masters of Engineering degree. Candidates are expected to be fluent in electrical circuit design, microcontroller programming, optical design, and Python programming. Introductory (or higher
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to geophysical or astrophysical datasets Experience working with spacecraft instrument data, calibration techniques, or simulation of spaceborne radar systems Strong programming skills (e.g., Python, MATLAB, or C
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in Python or R. Python preferred. Knowledge of sensor placement and instrumentation, especially for water systems (e.g., pressure, flow, or water quality sensors). Knowledge of open-source water system
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and gamma-ray detection and radiation transport codes (e.g., Geant4, MCNP) Proficiency in scientific computing (e.g., C++, Python) Strong initiative, organizational skills, and motivation Strong writing
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data analysis software like Excel, Python, and Matlab. Application Requirements A complete application consists of: Zintellect Profile Educational and Employment History Essay Questions (goals
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received within five years of the appointment start date. Highly competitive applicants will have education and/or experience in one or more of the following: Familiarity with Python or R and their related
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audiences. We’re looking for someone who: Can apply data science to real-world problems. Is comfortable with Python, R, SQL, or similar tools for analysis and modeling. Can translate messy datasets
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, or related discipline). Degree must have been received within the past five years. Preferred skills: Experience with ecological modeling, spatial analysis and statistics, ArcGIS Pro software, Python
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in agricultural soil microbiology. The participant will also have active exposure to statistical data analytics using R, Python, and current bioinformatic software. The participant will gain or enhance
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have been received within the past five years. Preferred skills: Experience with ecological modeling, spatial analysis and statistics, ArcGIS Pro software, Python and R coding. Stipend $60,000.00