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and storage systems. • Collaborate with multidisciplinary teams to integrate IoT sensor data into energy simulations. • Propose innovative solutions to enhance energy efficiency while reducing
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. The objective of the research is to use an integrated approach combining numerical and analytical techniques, simulations and analysis of available experimental data to study and provide efficient
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system, network, and signal designs. Consequently, the project's main objective is to jointly consider communication and data fusion requirements in designing an efficient WSN-IoT system/network
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, to meet the research and teaching challenges of UM6P, in particular on green and environmental chemistry applied to all aspects of chemical sciences: organic and inorganic chemistry, analytical
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spectroscopy and metallization methods. Demonstrated research experience in acid treatment and purification technologies. Strong analytical and problem-solving skills with a capacity for independent research
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for selective C-C bond formation. Analyze and characterize synthesized compounds using advanced analytical techniques (e.g., NMR, MS, IR spectroscopy). Prepare scientific publications and present research
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experiments. Conduct advanced bioinformatics analyses, including Whole Exome Sequencing (WES), RNA data analysis, and GWAS to identify key genetic traits in animal populations. Collaborate with the African
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material synthesis and characterization techniques (e.g., FTIR, XRD, SEM, TGA, BET). Proven experience in data analysis and material performance optimization. Track record of publications in peer-reviewed
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analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in interdisciplinary teams that involve experimentalists and modelers