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scientists, agronomists, and remote sensing experts to ensure seamless integration of your models into the broader project framework. Maintain comprehensive documentation of methodologies, code, and results
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processes, with a focus on optimizing performance and reducing environmental impacts. Collaboration with experimentalists, utilizing simulations to support reactor design, validation, and prototype
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prototype development. Techno-economic analysis and life-cycle assessment, evaluating the sustainability and scalability of AI-driven materials for battery applications. Engagement with industrial partners
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be responsible for implementing codes and conducting analysis for efficient management of water which is key to adapting African agriculture to climate variability and its impact on water resources
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assimilation technique Assimilate surface soil moisture product to estimate root zone soil moisture Participate in field data collection and data analysis Satellite images processing Publish research findings in
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Remote Sensing, Geoinformatics, Agronomy, or a related field. Strong background in hyperspectral remote sensing and image analysis for soil fertility mapping. Experience with data fusion techniques and
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remote sensing and image analysis for soil fertility mapping. Experience with data fusion techniques and multispectral/hyperspectral data processing. Proficiency in programming languages such as Python
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quantitative analysis for water management at the Farm-Scale. The successful candidate will be responsible for implementing codes and conducting analysis for efficient management of water which is key
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multilayer networks. Since multidimensional networks can be represented by tensors, one can think of applying tensor completion methods which have proved to be efficient in many applications such as image and
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-IoT system/network considering communication and data fusion requirements. Conduct a theoretical analysis of the developed designs. Develop simulations (writing code) to support the theoretical findings