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Challenges Addressed in the Position: Heterogeneity and high dimensionality of multi-omics data requiring advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing
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, UV spectroscopy, BCA/Bradford assays, etc. Actively contributing to critical data analysis, protocol optimization, and the writing of scientific reports. Supporting the valorization of research
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biostatistical analysis and molecular biology is highly required. The postoctorate will perform experiments and analysis both in Morocco (UM6P) and in France (CEREGE, Aix en Provence). Key Responsibilities: Design
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language models for bacterial genome analysis. Train and evaluate models on large-scale bacterial genomic datasets. Apply the developed models to address specific research questions, such as gene function
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forecasting. These technological advancements have paved the way for innovations, such as the integration of artificial intelligence (AI) into real-time data analysis. This integration can revolutionize the
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Remote Sensing, Geoinformatics, Agronomy, or a related field. Strong background in hyperspectral remote sensing and image analysis for soil fertility mapping. Experience with data fusion techniques and
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for large scale on-farm experiments with the components of biochemical analysis of precursors of soil carbon sequestration and nutrient cycling Analyzing and developing models for quantifying carbon
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microbial ecology, with experience in high-throughput sequencing techniques and bioinformatics analysis. Expertise in soil science, including soil nutrient cycling, soil microbiology, and ecosystem processes
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and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales. Contribute to the overarching goals of the research project team. Supervise master and doctoral student
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). Analyzing and characterizing purified proteins using SDS-PAGE, Western blot, ELISA, UV spectroscopy, BCA/Bradford assays, etc. Actively contributing to critical data analysis, protocol optimization, and the