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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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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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, Organization of field trips, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’ or Python programming, Co-supervise PhD and undergraduate students. Be willing to be
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leader in fertilizer production, is a major starter client for the University providing capital and research funds. In parallel, a new portfolio of clients is growing with the development of an R&D cluster
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bioinformatics toolkits. Practical experience in analyzing large datasets. Programming skills (Python, Perl or R). Demonstrated publication record in well-ranked journals. Ability to generate new ideas, links, and
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& Sustainable Mining institute) aims to strengthen its industrial partnerships within and beyond Morocco and Africa by adopting an integrated and sustainable strategic vision of R&D and training. The institute
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Africa by adopting an integrated and sustainable strategic vision of R&D and training. The institute focuses on various aspects of the mine lifecycle and aims to provide significantly higher added value
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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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-economic issues. • Proficiency in urban modeling tools such as MATLAB, Python (especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. • Advanced skills in predictive modeling and