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operational products to users (local, national and international) that aid in the decision support of water and food systems. Key Responsibilities: Statistical model development: Lead the development
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of diverse datasets to derive meaningful insights and trends using standard statistical tools and advanced techniques including modeling to create actionable insights. Develop and maintain data portals and
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sustainability and minimal environmental impact. Analyze experimental data using advanced statistical and computational methods to draw meaningful conclusions and guide the research direction. Evaluation of biogas
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, Computer Science or related field, with a focus on crop modeling. Experience with modeling software and climate data analysis. Strong quantitative skills, including knowledge of statistical and machine
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analysis, Data extraction/ingestion, statistical analysis and hypothesis testing, and model development. Understanding and implementation of project management best practices. In particular, the ability
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the Institute. Areas of research: Geo-informatic / Geo-statistics/ Numerical modeling Data analysis Ore mineralogy Geographical information systems / remote sensing Application and Selection Required documents
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polymeric matrices. The incumbent will be expected to: Lead the group’s theory and modeling effort by means of quantum chemistry, statistical mechanical theory of molecular liquid, and molecular dynamics
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independent research, including ability to design and execute experiments, analyze data, and interpret results. Knowledge of research methods, including experimental design, statistical analysis, and model
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, including ability to design and execute experiments, analyze data, and interpret results. Knowledge of research methods, including experimental design, statistical analysis, and model evaluation, and ability