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sustainable materials for advanced agronomic applications. These materials may include polymers, composites, or hybrid systems aimed at controlled-release fertilizers, biodegradable films, or environmentally
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algebra algorithms, including sparse/dense linear systems solving and preconditioners. Scalable implementations of linear algebra methods targeting large-scale HPC systems. Optimization of linear algebra
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review publications. Develop and implement simulation models to predict yields from secondary data sources and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales
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reactions. Research at CBS is organized around several major areas, which aim to answer challenging industrial questions, from complex chemical and biochemical reactions to scale-up and validation of process
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biochemical reactions to scale-up and validation of process engineering. CBS projects aim at an in-depth understanding of the molecular mechanisms of all transformations in order to propose new original
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of software tools for the broader research community. Responsibilities: Develop and implement transformer-based genomic language models for bacterial genome analysis. Train and evaluate models on large-scale
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such as spatial justice, socio-spatial segregation, territorial divides, and inclusive development. Proficiency in spatial analysis to examine inequality dynamics at various scales (urban, rural, regional
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international scale. An opportunity to contribute to cutting-edge research in Africa. A dynamic and multicultural work environment with strong collaborative opportunities
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an experimental photocatalytic measurement setup Perform conversion measurements at laboratory scale Synthesize and develop new catalytic materials Characterize catalysts before and after reaction Write reports and
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cutting-edge infrastructure for both cultivation and conversion at the Lab and the pre-industrial scale. It targets a wide range of applications such as agriculture, environment, food, feed, cosmetic