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Field
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hydrologic, geologic, and water quality data using tools such as GIS, statistical software, and data visualization programs. Coordinates with investigators and staff of other University departments and
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. Utilizing GIS tools to create map visualizations of the data across different spatial scales and temporal ranges. You are a Bachelor or Master student, enrolled at a German university, and ideally meet the
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representations of GIS data, using GIS hardware and/or software applications, related to workforce and economic development. Ability to analyze data related to local economic development, including identifying
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, thin sections, and well-logs). Experience with database design, data modeling, and data management systems. Proficiency in programming or scripting languages (e.g., Python, SQL) for data handling and
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Data tools including Cloud, Hadoop, Pig, Hive and Spark; GIS tools and systems; querying data from relational databases using SQL; R or Python; experience developing courses or professional education in
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grants for future research in the field of spatial history. Qualifications Required: Strong background in information science, library science, digital humanities, or GIS. Experience managing and
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modeling tools, especially in Python (e.g., EPANET, Water Network Tool for Resilience - WNTR, EPA SWMM, pipedream). Knowledge of geographic information systems (GIS) data and analysis for water
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degree (2.1 +/MSc) in mechanical / civil / environmental engineering, physics or a related quantitative field; strong computing skills (Python/MATLAB/GIS); interest in transport or urban futures. Position
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, or Computer Science). Preferred experience: - Background in natural resource conservation and/or wildlife management Required Knowledge, Skills, and Abilities: - R - Python - SQL - Familiarity with GIS software and
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classification. Strong background in experimental design, statistical sampling and analysis in field settings. Skilled in GNSS‑based geolocation, GIS software (e.g. QGIS, ArcGIS) and programming (Python, R