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Ph.D. in a relevant field, such as machine learning, climate science, environmental sciences, geoinformatics, or a related discipline. Proficiency in advanced learning techniques and statistical modeling
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Ph.D. in a relevant field, such as machine learning, climate science, environmental sciences, geoinformatics, or a related discipline. Proficiency in advanced learning techniques and statistical modeling
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precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded or defended before start) in Computer Science, Remote-Sensing/Geoinformatics, Agricultural Data Science, or
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for – Selection Criteria: Essential: A PhD in remote sensing, geoinformatics, computer vision, or a related discipline. Demonstrated expertise in hyperspectral remote sensing, including pre-processing (e.g