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AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including edge AI applications. Guide PhD students and collaborate with engineers to implement advanced ideas
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), satellite platforms (Sentinel/Landsat/GEE), and building reproducible pipelines. Field/ground-truth experience, agronomic knowledge, or fertilizer-recommendation systems. French/Arabic useful for local
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Ph.D. in Genomics, Molecular Biology, Bioinformatics or equivalent Expertise in bioinformatics pipelines (Illumina, MiseQ, Sanger, etc) Taxonomy analysis, diversity, genotyping, etc. Hands on 16s RNA and
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: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph