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; experience analysing plant community composition, functional traits, functional diversity, ecosystem functioning or ecological stability; experience with remote-sensing products and cloud/geospatial computing
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authoring. Scientific project management experience, including coordination of multi-partner research activities. Experience with cloud computing platforms (e.g., AWS and Microsoft Azure). Experience with
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of advantage: handling of remote sensing data acquired from satellite, airborne, and/or drone platforms geospatial data analysis and use of GIS software (e.g. QGIS) and cloud-based geospatial analysis platforms
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are scarce and in high demand. Our graduates will be ready for roles at cloud and datacentre operators, energy companies, grid operators, telecom companies, and in academia. As a MSCA Doctoral Candidate you
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AI-focused companies, technology companies, or research laboratories. Experience with robust software engineering, reproducible research, high-performance computing, or cloud-based scientific workflows