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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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Titre: MAScIR - Postdoctoral Position in corrosion and failure analysis About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is
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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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sampling, analytical methods such as GC-MS, LC-MS, or other relevant instrumentation. Experience in olfactory system research is highly desirable. Background in experimental design, data analysis
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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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person Tentative Schedule: Year 1 1 Collection of flux data B isotopic analysis, macro- and micronutrient analysis Monitoring and analysis of flux data 2 Collection of flux data B isotopic analysis, macro
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bioengineering. Performing microbiological analyses to assess soil health and carbon sequestration (microbial biomass analysis, soil enzyme activity assays, microbial community profiling,quantification of soil
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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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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