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, or water management in water-limited environments is an advantage. Proven ability to conduct independent research with a strong publication record. Excellent organizational skills and the ability to work
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, hydrometallurgy, and environmental engineering. The successful candidate will carry out duties to the highest standard and will: Help at designing and setting up experimental work at lab and pilot scale. Perform
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will contribute to the development of comprehensive computational modules that simulate the behavior and the performances of bioreactor to produce high added value product. Ability to engage
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fertilizers. Conduct laboratory, greenhouse, and field experiments to evaluate fertilizer performance, nutrient use efficiency, and crop response. Perform microbiological, physicochemical, and agronomic
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using in-situ XRD, XPS, 57Fe Mössbauer spectroscopy and NMR to investigate material behavior and interfacial chemistry during synthesis and battery operation. Develop mechanistic understanding of cathode
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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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and clinical metadata. Conduct network-based analysis (gene regulatory networks, protein-protein interaction networks, metabolic networks) to identify key disease drivers and biomarkers. Build
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providing guidance to PhD students who are actively involved in ecohydrological modeling research. Conduct laboratory analyses and field work. Collaborate with local researcher from the college of agriculture
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reactors, or pilot-scale kilns. Proven ability to conduct independent research, analyze data critically, and communicate results effectively. Excellent scientific writing and oral communication skills in