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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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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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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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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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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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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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an understanding of French being a desirable additional skill. Applications and selection procedure: Cover Letter: Submit a cover letter that clearly specifies the position you are applying for and outlines your
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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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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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foundation in Bio/chemistry, Bioprocess, and Microbial Biotechnology. Additionally, candidates should possess expertise in molecular biology and chemical analysis. Proficiency in biostatistical analysis, data