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processes. This project focuses on designing and optimizing novel materials that enhance the efficiency and effectiveness of converting biomass into valuable products such as biofuels and fine chemicals. We
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development of sustainable solutions to extend membrane lifespan while maintaining optimal performance. Special attention will be given to evaluating the effectiveness of cleaning agents, their chemical
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engineering, and particularly in modeling, simulation and optimization of the phosphate value chain processes. In terms of research, the candidate will reinforce the team of the CBS department. His/her
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into sparse optimization frameworks for the purpose of completing multidimensional networks by studying the theoretical foundations behind randomized algorithms in the context of sparse optimization and
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security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning
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in Food Technology to conduct advanced studies on animal-based food matrices. This full-time role involves leading innovative projects in food science, safety, and product development while
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. However, very little work has been performed on system/network optimization while considering the communications requirements jointly with the decision fusion process. This approach will produce novel
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quantum dots for downconversion mechanism. Candidates should have demonstrated experience and hands-on expertise in chemical synthesis, functionalization, characterization, thin-film processing of colloidal
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synthesize high-quality perovskite materials tailored for photovoltaic applications, ensuring optimized properties for solar cell performance. Thin-Film Deposition using various deposition techniques such as
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bacterial genomic sequences. The successful candidate will play a key role in developing and optimizing these models, applying them to diverse bacterial use cases, and contributing to the development