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applied to the phosphate industry. Key Responsibilities Analysis and Monitoring of Radionuclides and Heavy Metals: Develop and implement nuclear analysis methods to characterize phosphate ores and their by
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wet chemistry and known solid-sate methods such as mechanochemical or pyrolysis. Required qualifications: The candidates must have strong experience in MOF synthesis and characterization with a PhD and
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modules to farmer’s, cooperatives, extension agents, etc. Data scheduling, collection, analysis, interpretation, and presentation. Supervise Postdoc, PhD and Master students as well as interns Project
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researchers will work on include: Pyrolysis, gasification, hydrothermal carbonation, hydrothermal liquefaction, Fisher-Tropsh, etc. CO2 capture methods CO2 utilization & conversion to high-value chemicals (e.g
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, Polymers and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and international partners, MSN is emerging as a strong actor in the Moroccan materials
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models to design and optimize the properties of materials. Conduct
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research clusters including Energy Transition, Surface Technology and Metallurgy, Polymers and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and
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. The project examines Islamic intellectual production in the Greater Western Sahel as a site of religious, spatial, and epistemological transition, while simultaneously developing digital humanities methods
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
for applications in water stress mitigation, nutrient retention, and soil regeneration. This work directly contributes to water scarcity resilience and climate-smart agriculture. Job Qualifications PhD in Chemistry
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically