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Job Title: CAES – Postdoctoral researcher in Modeling and quantitative analysis for efficient use and sustainable management of water at the Farm-Scale in semi-arid regions Job Description
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characterization, distribution, diversity, and transmission mechanisms between rhizobia and hostel plants. Main responsibilities: The selected candidate will be expected to: Conduct research as part of the project
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to the analysis and monitoring of urban environmental systems. The research will integrate geomatics, remote sensing, environmental geosciences, and artificial intelligence methods to investigate soil conditions
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will contribute to the development of Earth Observation and spatial analytics approaches applied to the analysis and monitoring of urban environmental systems. The research will integrate geomatics
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, GIS, remote sensing products, and analysis methods. • Proven ability to conduct independent research and work effectively within interdisciplinary teams. • Proficiency in English and French, both
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. • Familiarity with geospatial data, GIS, remote sensing products, and analysis methods. • Proven ability to conduct independent research and work effectively within interdisciplinary teams. • Proficiency in
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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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responsibility is to contribute to the development of a pilot multilingual digital edition and commentary interface for Kamara’s major historical work. This research combines close philological interpretation with
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functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil microbiomes and interpret the data using bioinformatics tools. Collaborate with interdisciplinary teams
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. Skilled in both field and lab work Proactive, ethic, and respectful person Tentative Schedule: Year 1 1 Collection of flux data B isotopic analysis, macro- and micronutrient analysis Monitoring and analysis