135 linked-data-"https:"-"https:"-"https:"-"Bath-Spa-University" positions in Morocco
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be familiar with the work of Mokhtar Soussi. This work focuses on southern Morocco and Souss culture. It mentions links with sub-Saharan Africa. The post-doctoral candidate will need to identify all
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towards Africa, ASARI acts in connection with a wide network of universities and research centers around the continent to link real field issues with up-to-date science. The institute consists of a
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systems that fuse multi-modal remote sensing, soil and phenology data to enable crop classification and precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded
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. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the continent in order to link real field issues with up-to-date science. The institute has
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qualifications: PhD in Telecommunications, Physics, Electrical or Aerospace Engineering Experience in RF front-end design, SDR, antennas, and optical links Understanding of satellite link budgets and LEO-specific
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of expertise and related subjects; Good publication record in high-impact journals; Willingness to learn how to generate new ideas, links, and to build upon existing ideas to generate good concepts and solutions
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. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the continent in order to link real field issues with up-to-date science. The institute has
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applications for an 18-month postdoctoral position in the field of mineral thermal processing and pyrometallurgy. The position is part of strategic, industry-linked research projects funded by the OCP Group.The
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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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decision-making for process design and operational strategies. Integration of first-principles (mechanistic) models with data-driven models (hybrid modeling) for improved accuracy and generalization