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, field). You are eager to learn new techniques, whether in plant physiology, genomics, or high-throughput phenotyping, and you enjoy connecting detailed trait measurements to the bigger picture of crop
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perspective. The second PhD position within this work package will focus on ‘learning from nature’. Together, these complementary perspectives will contribute to an integrated, system-level approach
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transdisciplinary research, participatory research, and climate adaptation/resilience; Willingness to acquire new skills as required for the required study of the PhD project; Experience in publishing, as lead author
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NExTWORKx, the strategic partnership between the telecom and ICT service provider KPN and Delft University of Technology. Curious to learn more about the project? Feel free to visit our website , where you’ll
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, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute