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of “state of the art” research models. Your tasks Processing of existing spatio-temporal data such as hydrometeorological time series, remotely sensed land cover data Programming the coupling of a climate
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the aim of taking the complex spatial structure of clouds into account in climate models and global remote sensing. The position thus offers highly relevant and interesting opportunities for work and
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remote sensing department is offering a 4-year PhD position within the transregional collaborative research center TR172: Arctic Amplification, Climate relevant Atmospheric and SurfaCe Processes and
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the aim of taking the complex spatial structure of clouds into account in climate models and global remote sensing. The position thus offers highly relevant and interesting opportunities for work and
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. For this purpose, the researcher will intersect remote and proximal sensed data of biomass, yield, soil carbon, soil moisture and texture maps, as well as integrate field-collected and measured soil-based
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finished PhD in psychology, sociology or another related field of the social sciences Independent, analytical, and solution-oriented approach to your work, paired with a strong sense of responsibility and
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have expertise in data analysis, with programing skills in R or Python. Experience with other programing languages, GIS and/or remote sensing are valuable. Experience in project management, and
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things, on the mapping of marine habitats using remote sensing and the optimisation of measurement and evaluation methods. The work is carried out in an international context as well as in co-operation