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Reproducibility in geospatial science. Prerequisites for this position are an open attitude and interest in taking a leading role in a large community process. This activity is embedded into the NFDI4Earth (https
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Date: As soon as possible Group or Departmental Website: https://naturalcapitalproject.stanford.edu/ (link is external) How to Submit Application Materials: Send an email with your attachments
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extensive experience working with large data sets in Python are required for the position. Experience with machine learning, OCR, natural language processing, geospatial analysis, and data visualization is a
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of the demand of geospatial information in the field of smart cities Documentation, and improvement of deep learning algorithms for real-world applications Communication and between other project members, the TUM