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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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. Programming skills (Python, Perl or R). Demonstrated publication record in well-ranked journals. Ability to generate new ideas, links, and to build upon existing ideas to generate good concepts and solutions
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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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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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-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
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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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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