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processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices
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. Additional Skills (Preferred): Experience with environmental data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative
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: A Ph.D. in soil ecology, microbiology, soil biology Strong background in molecular biology and microbial ecology, with experience in high-throughput sequencing techniques and bioinformatics analysis
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soil moisture Participate in field data collection and data analysis Satellite images processing Publish research findings in peer-reviewed journals and present results at conferences and workshops
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bioengineering. Performing microbiological analyses to assess soil health and carbon sequestration (microbial biomass analysis, soil enzyme activity assays, microbial community profiling,quantification of soil
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review publications. Develop and implement simulation models to predict yields from secondary data sources and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales
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of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python programming / package development, Co-supervise PhD and undergraduate students
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sustainable urban development. Responsibilities: Research and Development: Conduct original research on NBS, including the design and implementation of field projects, data analysis, and publication of results
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science and hydrological modeling related to mine water management. Key Responsibilities Conduct advanced analysis of climate variability using a range of observational and modeled datasets to discern
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efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different