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skills in machine learning, deep learning, and advanced statistics for processing complex data. Urban Health Principles: Familiarity with urban planning principles centered on health (active mobility
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CBS - Postdoctoral Position: Artificial Intelligence Applied to Metabolomics for Health Applications
discovery workflows, and metabolic pathway enrichment analysis (e.g., KEGG, HMDB, Reactome). Experience with statistical modeling and multivariate analysis techniques (e.g., PLS-DA, PCA, random forest
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application, demonstrated by relevant publications and research projects. Technical Skills: Proficiency in ecological modeling techniques, GIS (Geographic Information Systems), and statistical analysis tools
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hydrological modeling at catchment scale, and familiarity with modeling tools. Proficient in statistical analysis and programming languages such as Python, R, or MATLAB. Strong written and verbal communication
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for processing of seaweeds to ensure sustainable valorization and minimize environmental impact. Analyze experimental data using appropriate statistical methods, providing insights into the biological properties
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physiology. Acquire skills in statistical analysis to design and analyze experiments, interpret data, and apply appropriate statistical models in plant breeding research Familiarize plant breeding techniques
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Responsibilities: Develop and improve emission inventories for Morocco. Perform source apportionment analysis using statistical and computational techniques (e.g., receptor models, chemical transport models
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ability to conduct independent research, with a strong record of scientific publication. Analytical and Problem-Solving Skills: Strong analytical skills, with experience in data collection, statistical
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, time management, Statistical software and data analysis Good publications record in refereed journals Fluency in written and spoken English. French and Arabic will be a plus Experience in working as a
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: Experience in developing smart city models focused on health and environmental infrastructures. • Advanced Data Analysis: Advanced skills in machine learning, deep learning, and advanced statistics