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, 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 of continental surfaces and their
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of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python programming / package development, Co-supervise PhD and undergraduate students
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2 Sep 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Biological sciences Environmental science Geosciences Researcher Profile Recognised Researcher (R2
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, technology and information on soil suitability, land use and fertilizer development, which can be accessible to the various African stakeholders viz., farmers, universities, research institutions, policy
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remotely sensed data. The center’s research aims to improve the understanding of surface processes and their interactions with climate and human activities, with an emphasis on the sustainable management
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candidate will work on innovative solutions that integrate advanced technologies, urban data, and sustainable approaches to enhance the performance of waste management systems. Key Responsibilities
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are looking for a postdoctoral to perform generate data in Morocco and Africa related to rhizobia genomic characterization, distribution, diversity, and transmission mechanisms between rhizobia and hostel
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in Africa. Main responsibilities: The selected candidate will be expected to: Collect the data regarding the production of targeted crops in Africa, work with the project team and valorize data as
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
development. Proficiency in biodiversity monitoring tools and plant growth tracking. Field experimentation skills and experience in ecological data collection and analysis. Demonstrated hands-on experience
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data. Knowledge of computer-aided synthesis planning (CASP) tools and retrosynthetic analysis software (e.g., AiZynthFinder, ASKCOS, IBM RXN). Familiarity with reaction condition prediction and reaction