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Field
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practical experience of developing code for research. You should have proficiency in mathematical modelling and related statistical procedures (using GIS, Python or R or other programming languages) You
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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets
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environments. Skills: Proficiency with Python, R, Google Earth Engine, and GIS systems. Excellent organizational skills and attention to data quality. Strong ability to communicate and translate technical
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mapping, etc). - Advanced proficiency in remote sensing software. - Strong programming skills in Python (mandatory); experience with geospatial libraries (GDAL, rasterio, geopandas, xarray, etc
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(quantitative and qualitative); strong statistical analysis (Stata, R, Python) and data management (spreadsheets and databases) skills; GIS analysis skills; experience with Latex; interest in international
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processes causing consecutive landslides will be undertaken. Training The individual joins a team of international experts who will support through training in remote sensing and GIS, field geomorphic
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techniques such as thermal drones and AI modeling, with Python, R-Studio, Yolo, SLEAP, LabGym. The applicant must have proficiency in RStudio and GIS tools, as these skills are essential for data analysis and
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and oral communication skills Proficiency in data analysis tools (e.g., R, Stata, Python, NVivo, GIS) Experience with interdisciplinary or community-based research is a plus How to apply: Interested
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analyses using R or Python. Produce visualizations, tables, and reports summarizing key results. 2. Research Support and Collaboration (25%) Work collaboratively with lab members to support ongoing research
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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python