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generate data that will be used to develop new models of the dissolution and diffusion of different fertilizer formulations. The main responsibilities are: Conduct experiments in the Lab, prepare soil
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optimize laboratory protocols for characterization, and functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil microbiomes and interpret the data using
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data sequences from the project and reports. Prepare high draft quality manuscripts for submission Mentor master students and PhDs Education, qualifications, and experience Applicants must have earned a
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COLCOM: The School of Computer Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks
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. Proven publication record in peer-reviewed journals. Knowledge of bioinformatics tools for transcriptomic or proteomic data analysis. Experience in physiological assays (e.g., photosynthesis, chlorophyll
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spectroscopy, and electron microscopy. Analyse experimental data, interpret results, and contribute to the development of new hypotheses and research directions. Prepare manuscripts for publication in peer
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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