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leader in fertilizer production, is a major starter client for the University providing capital and research funds. In parallel, a new portfolio of clients is growing with the development of an R&D cluster
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bioinformatics toolkits. Practical experience in analyzing large datasets. Programming skills (Python, Perl or R). Demonstrated publication record in well-ranked journals. Ability to generate new ideas, links, and
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software (e.g., R, SAS, SPSS) and data modeling tools. Knowledge of integrated soil fertility management and sustainable agricultural practices. Publication record: A good track record of publishing research
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efficiency Proficiency with statistical analysis and visualization using tools (R, SAS, etc.) and Microsoft Office. Demonstrated publication record in well-ranked journals Experience in working as a member of
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apportionment, and related analytical methods (e.g., receptor models, chemical transport models, statistical analysis). Proficiency in programming languages (e.g., R, Python, MATLAB) and familiarity with relevant
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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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., Python, R) and GIS tools (e.g., QGIS) experience. Excellent communication skills. Strong publication record related to current position
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of soil health and nutrient acquisition Proficiency in Microsoft Office, data analysis using R and SAS. Basic knowledge of remote sensing application to quantify carbon sequestration is desirable
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desirable. 3. Technical skills: Proficiency in soil and plant analysis techniques (e.g., nutrient quantification, soil microbial assays). Experience with statistical software (e.g., R, SAS, SPSS) and data
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with excellent and relevant R&D along with excellent publication track record. Good communication skills, both verbal and writing are mandatory in English.