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to agricultural water management, through key research tasks such as conducting fieldwork, contributing to land and irrigation suitability mapping, irrigation design and management, processing and analysis of data
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system, network, and signal designs. Consequently, the project's main objective is to jointly consider communication and data fusion requirements in designing an efficient WSN-IoT system/network
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. Integrate and interpret multi-omics datasets to understand microbial community dynamics and interactions. Collaborate with bioinformaticians and apply computational tools for data processing, assembly, and
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of wastes/residues from mining and industrial sites. Conduct analytical measurements, collect research data and data interpretation. Write scientific articles and reports and assisting in the preparation
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plant performance. Analyze experimental data using appropriate statistical methods and communicate findings through scientific publications. Work closely with researchers from other disciplines, such as
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minimize environmental impact. Analyze experimental data using appropriate statistical methods, providing insights into the biological properties of seaweeds and their industrial applications. Prepare
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includes not only conducting experiments but also carefully gathering and analyzing data, but also in disseminating the research findings through publication in peer-reviewed scientific journals. Furthermore
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, technology and information on soil suitability, land use and fertilizer development, which can be accessible to the various African stakeholders viz., farmers, universities, research institutions, policy
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for industrial applications. This includes exploring novel sensing technologies, materials, and data analysis techniques. Conduct rigorous field testing of developed sensors to ensure sensor accuracy, reliability
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information of at least two referees.