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conditions, require innovative solutions to overcome the challenges posed by climate change and resource scarcity. As part of this initiative, ASARI has reviewed and published a selection of crop species with
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record in leading international and well ranked journals An experience in supervising of Master and/or PhD students Motivated self-starter with ability to work both independently and collaboratively as
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regarding the production of targeted crops in Africa, work with the project team and valorize data as review publications. Develop and implement simulation models to predict yields from secondary data sources
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characterization, distribution, diversity, and transmission mechanisms between rhizobia and hostel plants. Main responsibilities: The selected candidate will be expected to: Conduct research as part of the project
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-based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation
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stress biology to contribute to a multidisciplinary project focused on plant adaptation to temperature changes through stress priming and memory in the early growth phases. This project is part of a
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project exploring the intersection between urban heritage and spatial justice. The postdoc will work within a multidisciplinary research team and contribute to developing new theoretical, historical, and
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desalinization and wastewater treatment for applications in agriculture as well as domestic and industrial use. The program focuses on the efficient use of solar, wind and marine energy and the development of new
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Technology Institute (GTI) at UM6P leads cutting-edge work in: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering
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to the performance of a wide range of scale-up studies of a magnetic and electromagnetic separation process to validate the selection of the appropriate design for treating, concentrating, and purifying the matrices