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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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, or a comparable field Strong interest in the energy transition, energy technologies, and the role of green hydrogen Initial experience in data analysis and programming using Python and GIS-based tools
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analytical skills which bridge science and marine policy, including research experience in European coastal and marine systems. Experience in spatial data analysis using geographic information systems (GIS
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techniques, by powder diffraction, PDF analysis, GI-PDF, and complementary characterization techniques, e.g. IR Experience in material synthesis Motivated and creative approach to research with the ability
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, Environmental science, Geosciences or related fields programming experience in Python or extensive experience in another high-level programming language is a prerequisite experience in geospatial data science
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or related fields programming experience in Python or extensive experience in another high-level programming language is a prerequisite experience in geospatial data science, remote sensing, GIS, and open
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reporting skills (4) Experience in spatial data analysis using geographic information systems (GIS) and programming languages (R, Python) as well as experience in numerical model applications and multivariate
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geographic information systems (GIS) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge
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using geographic information systems (GIS) and programming languages (e.g. Matlab, Python, R) and working with large data sets and data formats, such as netCDF, HDF, including analysis tools such as NCO
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production, agriculture broadly, and/or smart technologies is desirable. • Experience in modelling biological or agricultural systems, with strong programming skills (R, Python, or Matlab