17 big-data Fellowship research jobs at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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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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fieldwork, including floristic surveys, soil sampling, and ecological data collection. Conduct advanced analyses of plant functional traits and their phytoremediation potential. Contribute
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areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve
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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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associated with stress memory and enhanced stress tolerance. Develop and test priming protocols for crops such as tomato, eggplant, onion, and strawberry. Collaborate on data analysis using computational tools
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Submission Applicants should submit: A cover letter outlining research experience, achievements, and research interests. A detailed Curriculum Vitae. A list of publications. The names and contact information
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We are in search of a highly qualified researcher for one postdoctoral research opening in our team. Please see the information below: Postdoctoral Fellowship in Organic Chemistry Duration: 12
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communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including non-iidness of data distribution, system heterogeneity, and dynamic
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foundation in Bio/chemistry, Bioprocess, and Microbial Biotechnology. Additionally, candidates should possess expertise in molecular biology and chemical analysis. Proficiency in biostatistical analysis, data