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will also participate in interdisciplinary research activities, scientific publication, and project development. Main Responsibilities • Conduct advanced research in AI-based modelling applied
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to sustainable water resources management. The selected candidate will also participate in interdisciplinary research activities, scientific publication, and project development. Main Responsibilities • Conduct
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multidisciplinary research center that aims to conduct relevant, cutting-edge research that positively impacts African agriculture. It is based on the collaboration and synergy of several research programs targeting
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both materials within a circular economy framework. Main responsibilities: Conduct a comprehensive literature review on potash brine management, phosphogypsum valorization, and related physicochemical
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LLMs. The candidate will apply their expertise to advance predictive maintenance systems using AI tools. Key Responsibilities: Conduct innovative research on the application of Large Language Models
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and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales. Contribute to the overarching goals of the research project team. Supervise master and doctoral student
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observations, atmospheric chemistry models, and physics-informed deep learning, validated through field campaigns. Key Responsibilities Conduct atmospheric chemistry simulations Develop deep learning models
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soils to study the dynamics of fertilizers and their interactions with processes across the water-soil-plant-atmosphere continuum. The main responsibilities are: Conduct experiment in the Lab, modeling in
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, synthesize, and characterize advanced materials for biomass conversion. Conduct experiments to evaluate the performance of these materials in various conversion processes. Investigate the mechanisms of biomass
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Responsibilities Conduct independent and collaborative research projects focused on the effect seaweeds bioproducts on soil biology, soil carbon, microbial diversity, and functional genomics. Apply molecular biology