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: Present a table listing your indexed publications, arranged in descending order from the most recent to the oldest. Include information about your authorship position (e.g., First position) and provide
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sciences, or a closely related field. Proven experience in omics data generation and analysis (transcriptomics, proteomics, metabolomics). Strong background in microbial physiology, protein/peptide
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discovery and innovation. The College currently offers an engineering degree in computer engineering, and a doctoral program in computer science. About the Group The Data Intelligence Group at UM6P-CC is a
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–soil interactions, droughts, and desertification Water-related hazards and risk assessment Climate change impacts and adaptation strategies Integrated Coastal Zone Management (ICZM) Water information
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experience in natural product extraction, purification, and metabolite identification. Proficiency in the use of LC-MS/MS, GC-MS/MS, NMR, and relevant data analysis software (e.g., MestReNova, Thermo
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environmentally friendly alternatives. Funding information: This position is available for one year, extended to two years depending on the performance. Interested applicants should submit their online application
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metabolism. Key Responsibilities Lead metagenomic, proteomics, and metabolomic profiling of clinical and experimental samples to identify dysbiosis signatures. Apply bioinformatics tools for microbiome data
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, including legumes, cereals, grasses, and vegetables. The appointed candidate will conduct field, greenhouse, and laboratory trials, analyze data, and publish findings in high-impact journals. The role
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partners and microbiome researchers to integrate multi-omics data for comprehensive resistome analysis. Publish high-quality research articles and present findings at international conferences. Contribute
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, Professor Venturi’s research program extends to unraveling the intricacies of bacterial cell-cell signaling within plant microbiomes. As a postdoc, you will delve into genomics and metagenomics data