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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
sets (e.g. GIS, Python, Tableau, other visualization skills) that can contribute to projects would be an asset. Special Physical/Mental Requirements Campus Security Authority Responsibilities Not
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changes to hydrometeorological forcing. Geomorphology, 414, 108383, https://doi.org/10.1016/j.geomorph.2022.108383 Eelsalu, M., Viigand, K., Soomere, T., Parnell, K., 2024a. Systematic analysis
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. Ability to multi-task, prioritize and meet deadlines. Ability to be flexible and change between projects and tasks as requirements change. Familiar with GIS and programming languages (e.g. R, SQL, Python
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) Preferred Qualifications: Proficiency in programming and data analysis tools (e.g., SQL, Python, R, GIS platforms), experience with integration of human subject data (e.g., questionnaires, interviews, eye
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human missions, which could extract the first Martian ice cores. You will combine GIS-based mapping and terrain analyses using data from Mars orbiters with: Numerical ice flow modelling, for example using
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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
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., 1st March 2026). Specific Requirements Solid practical experience with GIS (e.g., QGIS, ArcGIS), including spatial data processing and visualization; Experience with data analysis using Python, Matlab
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good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Solid programming skills in Python and familiarity with machine
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analysis. -Proficiency in programming and data analysis tools (e.g. R, Python, GIS…). -Experience in remote sensing data processing and analysis. - Fluency in verbal and written English - Excellent oral and
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qualifications in probilistic risk modelling, applied statistics and familiar with quantitative risk modelling measures strong data analysis skills and proficiency in R and Python; experience with other programing