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objective of this postdoc project is to improve our knowledge of nutritional dynamics in forest ecosystems based on the balance between organic (dead biomass recycling) and mineral (chemical weathering
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. • Strong proficiency in Python and relevant libraries for data analysis and modelling (e.g., TensorFlow, Keras, Scikit-learn, Pandas); knowledge of R would be an asset. • Familiarity with geospatial data
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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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and management tasks related to research and teaching. Technical skills required: In-depth technical knowledge in AI and Data Science. Proven expertise in research and development in the following areas
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into urban development and sustainability policies. Publish research findings in high-impact journals, present at conferences, and engage in knowledge dissemination to policymakers and communities. Required
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manufacturing process and formulation. Experience in designing and characterizing simple and complex fertilizers Good knowledge of technics used to evaluate the physicochemical properties of fertilizers and to
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or water-related systems. • Strong proficiency in Python and relevant libraries for data analysis and modelling (e.g., TensorFlow, Keras, Scikit-learn, Pandas); knowledge of R would be an asset
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multilocation trials and laboratory scale experiments and develop knowledge that can contribute to relevant teaching modules at UM6P, high quality publications, patents and research proposals for funding
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in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and methodologies developed during the course
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. Experience in microbial functional analysis (e.g., functional gene sequencing, metabolic pathway analysis). Knowledge of environmental sustainability, soil health, or plant-microbe interactions. Proficiency in