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Sensing, Geospatial Science, Environmental Science, Data Science, or related field. Strong background in remote sensing data analysis, image processing, and geospatial analysis. Experience working with
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background in remote sensing data analysis, image processing, and geospatial analysis. Experience working with satellite imagery (e.g., Landsat, Sentinel) and other remote sensing data sources. Proficiency in
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. The candidate will contribute to the mechanical design, composite fabrication, and experimental validation of UAV structures, integrating morphing wings and additive manufacturing processes for high-performance
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validation. Data Processing: Documentation, data analysis, and contribution to reports/publications. Expected Outcomes: TRL 5 UAV prototype. 3 Q1 publications and one patent contribution. Workflow for morphing
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. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large
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deep learning techniques to improve image processing and trait prediction. Analyze large datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress
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security challenges in Africa, with a particular emphasis on the use of multi-source remotely sensed data. The center’s research aims to improve the understanding of surface processes and their interactions
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African agriculture. Water treatment and management which is oriented towards the development of cost-effective desalinization processes for agriculture and other uses, Renewable energy that aims
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soil moisture Participate in field data collection and data analysis Satellite images processing Publish research findings in peer-reviewed journals and present results at conferences and workshops
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the development of cost-effective desalinization processes for agriculture and other uses, Renewable energy that aims at developing new approaches to produce clean energy to address persistent challenges