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Field
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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. You have good programming skills in Python and/or R; you are familiar with reproducible coding and automated (geospatial) data analysis. You have excellent scientific writing and communication skills in
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creative and interdisciplinary thinking. Strong programming skills in R, Python, Stata and/or SAS, GIS or other relevant software. Excellent oral and written communication skills. Track record of published
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Excel, R, Python, or SQL. Must be proficient in English (oral and written) for effective communication with board members, staff, partners, and the public. Experience managing datasets and supporting QA
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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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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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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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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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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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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