Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI
-
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
-
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
-
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
-
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