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systems in soil C changes and its relevance for Brazil achieve the iNDC commitments remains largely unknown. In this sense, the aim of this proposal is providing a pervasive biome-scale analysis of soil C
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suitability mapping, irrigation design and management, processing and analysis of data, and report writing. Lead data collection and contribute to the situational analyses to identify status of farming systems
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, Environmental Science, Climate Change, or a closely related field. Strong background in agronomy, crop physiology, or related disciplines. Experience with remote sensing data analysis techniques for agricultural
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cyanobacteria or microalgae biology. Experience with experimental design and data analysis in both laboratory and field settings. Familiarity with agricultural microbiology, plant-microbe interactions
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modules to farmer’s, cooperatives, extension agents, etc. Data scheduling, collection, analysis, interpretation, and presentation. Supervise Postdoc, PhD and Master students as well as interns Project
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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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communities in soil environments. Develop and optimize laboratory protocols for characterization, and functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil
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of the additives in phosphate ore processing. Study the interaction mechanisms between additives and mineral surfaces using surface chemistry and interfacial analysis techniques. Contribute to the optimization
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, archival research, spatial analysis). Strong interest in interdisciplinary and Global South perspectives. Excellent writing and communication skills in English; proficiency in French and/or Arabic is highly