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. Proven experience in experimental design and data analysis, with proficiency in statistical software. Experience with soil sampling, laboratory techniques, and field research. Ability to work both
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data, including statistical medthods, and translate it high quality into manuscripts to be submitted; Demonstrated experience of multidisciplinary research in the above research area. High-quality
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative and autonomy to conduct fieldwork. Application Documents
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in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a multidisciplinary team. Strong written and
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. Additional Skills (Preferred): Experience with environmental data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative
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minimize environmental impact. Analyze experimental data using appropriate statistical methods, providing insights into the biological properties of seaweeds and their industrial applications. Prepare
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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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, 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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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