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design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or
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of water intended for agricultural use. The selected candidate will contribute to the development and optimization of desalination processes (membrane-RO), the analysis of treated water quality (especially
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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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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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, UV spectroscopy, BCA/Bradford assays, etc. Actively contributing to critical data analysis, protocol optimization, and the writing of scientific reports. Supporting the valorization of research
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downconversion layer Analysis of data using software tools such as MATLAB, Python, or Origin. The candidate must be familiar with materials studio software and any other materials modeling software. Experience in
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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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processes for efficient metal recovery. Utilization of material characterization techniques, including: Inductively Coupled Plasma (ICP) for metal composition analysis. X-ray Powder Diffraction (XRD) and