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Duration: 12 months Position Summary: We are seeking a postdoctoral fellow to join our team and contribute to research in phytomanagement and phytoremediation of mining waste. This position is part
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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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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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articles are also mandatory. The post-doctoral fellow should be an effective team player to interact constructively with the interdisciplinary team of the CBS department and other collaborators with
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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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at Benguerir (50 km north of Marrakech), Morocco. Applications and selection procedure: Applications must be sent using a single electronic zipped folder with the mention of the job title in the mail subject
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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