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(e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
classifiers). Proficiency in programming languages such as Python, R, and experience with bioinformatics pipelines. A proven track record of scientific publications in metabolomics, AI, or computational biology
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). Knowledge of environmental sustainability, soil health, or plant-microbe interactions. Proficiency in the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R
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of proposals and contact with funding organizations. Communicate with all stakeholders including R&D peers, suppliers, and the client.
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on analyzing satellite-derived data (Sentinel-3, Landsat) to monitor coastal ecosystem changes. Develop workflows in R, Python, or MATLAB to process and analyze ocean color data, with a focus on chlorophyll-a
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efficiency Proficiency with statistical analysis and visualization using tools (R, SAS, etc.) and Microsoft Office. Demonstrated publication record in well-ranked journals Experience in working as a member of
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apportionment, and related analytical methods (e.g., receptor models, chemical transport models, statistical analysis). Proficiency in programming languages (e.g., R, Python, MATLAB) and familiarity with relevant
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., Python, R) and GIS tools (e.g., QGIS) experience. Excellent communication skills. Strong publication record related to current position
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of soil health and nutrient acquisition Proficiency in Microsoft Office, data analysis using R and SAS. Basic knowledge of remote sensing application to quantify carbon sequestration is desirable
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or R for data analysis and processing. Excellent communication skills and the ability to work effectively in a multidisciplinary team environment. Physically fit and willing to engage in extensive