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of Sustainable Agriculture and Environmental Science (CSAES), AgroBioSciences program (AgBS), Job Title – Post-Doctoral Fellow in bioinformatics data analysis and mining Duration: 3 years Location: Benguerir
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CBS - Postdoctoral Position: Artificial Intelligence Applied to Metabolomics for Health Applications
-dimensionality and complexity of metabolomics data, requiring advanced AI/ML techniques for robust analysis and interpretation. Integration of multi-omics data (genomics, transcriptomics, proteomics, and
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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-genome sequencing experiment of the selected strains. Conduct taxonomy characterization and analysis of selected isolates. Conduct Bioinformatics analysis related to the generated data. Co-supervise master
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). Knowledge of environmental sustainability, soil health, or plant-microbe interactions. Proficiency in the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R
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on multiple components by analyzing maintenance data, performing failure analysis and giving recommendations backed by laboratory testing and emulation results. The candidate must be comfortable with operating
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soil moisture Participate in field data collection and data analysis Satellite images processing Publish research findings in peer-reviewed journals and present results at conferences and workshops
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bioinformatics tools and genomic data analysis. Strong programming and data analysis skills. Excellent communication and writing skills. Ability to work independently and as part of a team. Preferred
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develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute to modeling smart cities with a focus on health and designing
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of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python programming / package development, Co-supervise PhD and undergraduate students