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program is available here: https://kgs.ku.edu/geohydrology-internship-program POSITION: KGS Geohydrology Internship Program STARTING DATE: Week of May 26, 2026 (flexible based on student schedule
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Associate to support advanced research on solid oxide cells (SOCs), oxygen-vacancy
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) Geographical information system (GIS) Geogame and digital twin with Unity or Omniverse Global positioning system (GPS), GNSS and IMU Image processing and computer vision Asphalt binder modification, asphalt
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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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with Microsoft Office Suite and familiarity with statistical and geospatial software such as Python, R, and GIS applications (e.g., ArcGIS, QGIS). Ability to work collaboratively as part of a
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris 15, le de France | France | about 1 month ago
Expertise in Geographic Information Science (GIS), including proficiency with ArcGIS Pro General knowledge of urban geography Strong interest in the interactions between climate change and human health in
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into insights that drive real-world impact. Key Responsibilities: Research & Data Analysis •Conduct advanced quantitative analyses using R, Python, or GIS. •Apply environmental, economic, health, and demographic
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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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and AI algorithms Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with geospatial data (e.g., geopandas
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refereed journals. • Demonstrated proficiency with industry-standard GIS software (e.g., ArcGIS Pro, QGIS). • Experience with geospatial data analysis and scripting, preferably using Python or R. • Strong