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Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques, including molecular dynamics, quantum mechanical simulations, and machine learning
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dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable
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. Achieving high tap density, uniform morphology, and enhanced electrochemical performance depends strongly on the fluid dynamics, mixing efficiency, and reaction kinetics within the reactor. This postdoctoral
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acquisition efficiency. The successful candidate will significantly contribute to specific, but in-depth, research activities related to root-soil-microbe interaction by studying molecular and physiological
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for fluid dynamics, mixing, and reaction kinetics in the CSTR. Implement advanced numerical schemes and perform high-resolution CFD simulations of two-phase flow. Optimize impeller geometry and reactor design
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network of universities and research centers around the continent to link real field issues with up-to-date science. The institute consists of a multidisciplinary team of agronomists, biochemists, molecular
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. The selected candidate will lead and contribute to research integrating plant pathology, microbial biotechnology, and molecular biology to explore and validate the potential of microalgae in controlling
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in crop physiology, microbiology, plant molecular physiology, or related fields. Strong knowledge about plant-soil-microbes interactions including root growth dynamic, root functional traits
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molecular biology to explore and validate the potential of microalgae in controlling soilborne pathogens. This position offers an exciting opportunity to work at the interface of applied microbiology and
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biology to explore the dynamic interactions between soil microorganisms, their environment, and nutrient cycling. This position offers a unique opportunity to investigate how soil microorganisms contribute