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) (Reference: 24-STB-PB4-PD) Understanding how different Earth system components affect the variation of life forms and how this diversity of life impacts tectonic, geomorphic, and climatic processes at various
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transferred to other regions with different physiographic contexts and hydroclimatic regimes. The most recent advances in large-scale gridded hydrometeorological data with relatively high spatio-temporal
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, as well as experience in programming with Python, R, SQL, and knowledge of web technologies (HTML, CSS, JavaScript). A good command of the English language is also valued. Knowledge of tools used in
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different European forest types to improve representation of European forest responses to recurrent droughts (soil and atmospheric) within the Land Surface model (LSM) of an Earth System Model (ESM), and 2
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). You have good experience in Python/Matlab and can learn a new programming language rapidly. Experience with other image processing tools & libraries (e.g. OpenCV, PyQt, CUDA) is a plus. You are used
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supervision. Experience in Stata is essential and experience with R and/or Python desirable. We are looking for someone with fluency in written and spoken English, with excellent written and verbal
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implementing quasi-experimental research designs (e.g., difference-in-differences, propensity score matching, regression discontinuity). Excellent organizational skills and attention to detail. Ability to work
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using solar absorption spectrometry and use these data in different projects, e.g. in the frame of (AC)³. In addition to the already established measurements of standard trace gases, we aim to investigate
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with data from different sources, e.g. U.S. Census Bureau. · Familiarity with GIS (Geographic Information Systems) e.g. ArcGIS Pro, ArcGIS 10, or QGIS). · Exposure to programming
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on related but different areas of aerosol science and covers the whole size spectrum from the nano- to the microscale. We are looking for a motivated Senior Scientist to extend our team. The position is