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experience in assaying root – soil chemical interactions and imaging for simulation of soil health and nutrient acquisition Proficiency in Microsoft Office, data analysis using R and SAS. Basic knowledge
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satellite imagery (e.g., Landsat, Sentinel) and other remote sensing data sources. Proficiency in programming languages such as Python, R, or MATLAB for data analysis and algorithm development. Knowledge
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parallel, a new portfolio of clients is growing with the development of an R&D cluster around the University and a growing number of international partnerships. About the College of Agriculture and
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and avoid indirect land use emissions from the clearing of new forests. Requirements Programming skills, preferably in Fortran, Python / R Knowledge of remote sensing data processing and analysis
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/listing/398766/agbs-postdoctoral-r… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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fertilizers and soil microbial communities. Ability to perform statistical data analysis using R and other relevant software and draft technical or scientific reports. Ability to write manuscripts
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modifications to enhance the properties of the formulations. Proactively engage in collaborative R&D by providing solutions and demonstrating the potential of formulation chemistry in addressing important
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). Knowledge of environmental sustainability, soil health, or plant-microbe interactions. Proficiency in the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R
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understanding of the scope and role of organic chemistry in R&D Experience in handling hazardous reagents (solvents, chemicals…) Advanced knowledge in designing and execute experiments, analyze data, and
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learning; Proficiency in programming languages such as Python and R. Strong experience working with climate and remote sensing datasets for environmental applications. Experience with high-performance