34 bayesian-inference-tracking Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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-based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation
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(e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal
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. Track record of high-level scientific publications and presentations at international conferences. Commitment to research excellence. Interest in African development challenges. Entrepreneurial mindset
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-supervision and coordination of masters and PhD level students. Excellent communication in both English and French languages. Good publication track record in peer-reviewed journals with respect of the career
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communication skills in English and French, both written and verbal. A track record of publication in well ranked journals. Established collaborations with renowned international researchers in the field
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solutions. Experience in co-supervision and coordination of masters and PhD level students. Excellent communication in both English and French languages. Good publication track record in peer-reviewed
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nanofertilizers and their agronomic applications is highly desirable. Previous experience in industrial research projects is an asset. Good publication track record in peer-reviewed journals. Strong communication
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, XRD, SEM, TGA, BET). Good Knowledge of agronomic tests and design of experiments (DOE). LCA basics Track record of publications in peer-reviewed journals. Strong analytical and problem-solving skills
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mining. Qualifications PhD (awarded or imminent) in Industrial Engineering, Operations Research, Mining Engineering, or a related discipline. Strong track record of publications in simulation, optimization
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
development. Proficiency in biodiversity monitoring tools and plant growth tracking. Field experimentation skills and experience in ecological data collection and analysis. Demonstrated hands-on experience