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) and Data Science with expertise in multi-omics data integration for health and precision medicine. The successful candidate will join a multidisciplinary team developing AI-driven approaches
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...) Biomass/Biomaterials and Industrial By-Products Characterizations and analyses Key responsibilities Conduct original research of international quality in nano-fertilizers sustainable bio-composite materials
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Position Overview: We are seeking an outstanding Postdoctoral Researcher in Artificial Intelligence (AI) and Data Science with expertise in multi-omics data integration for health and precision
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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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, 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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for next-generation Na-ion batteries. The successful candidate will contribute to fundamental research and industrial-scale implementation, working on the development of novel cathode compositions
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-generation Lithium-ion batteries. The successful candidate will contribute to fundamental research and industrial-scale implementation, working on the design of novel cathode compositions, understanding
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of electrochemistry, membrane science, and environmental engineering. Main Responsibilities Design and operate lab-scale BMED setups, including multi-compartment electrochemical cells. Test and characterize membranes
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postdoctoral position in MOFs and their composite materials, derived from inorganic by-products and other sustainable precursors, is available at CBS.GPE. This position involves the design, synthesis, and
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equilibrium modeling in multi-component systems. Comprehensive use of characterization tools, including: SEM, TEM, HAADF-STEM, XRD, and EDS for micro- and nano-scale phase analysis. LA-ICP-MS for ultra-trace