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, opportunities for conference participation. Application Procedure Application must include: A detailed CV A cover letter highlighting relevant experience A list of publications Contact information for 1–2
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the mechanisms of plant cell memory and stress priming. The School of Computer and Communication Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco is currently looking for motivated and
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve
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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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team to write scientific reports, prepare research publications, and effectively communicate results and data analysis in both French and English. Candidate Criteria Ph.D. in Chemistry, Organic Chemistry
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coefficient modeling. Experience in integrating modeling with leaching and separation processes for scale-up. Advanced data interpretation using electron diffraction, dendritic growth modeling, and REE behavior
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calculations to model and optimize heterogeneous catalysts. Conduct simulations to evaluate catalytic performance and reaction mechanisms. Analyze and interpret computational data to understand the interactions
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: PhD degree in Materials Science, Chemistry, Crystallography Knowledge in crystallization technics Expertise in solving crystal structure using single-crystal X-ray diffraction data. Experience in
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, Bioinformatics, Soil Science, Plant Science, Environmental Science, or a related field. Expertise in microbiome data analysis, metagenomics, or metaproteomics. Proficiency in bioinformatics tools for multi-omics