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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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sodium-ion batteries. Position Requirements - A Ph.D. in physics, computational materials science, or a related discipline completed within the last 5 years. - Strong background in Multiscale simulations
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Proficiency: Proficiency in Geographic Information Systems (GIS) to map and analyze spatial determinants of urban health. Predictive Modeling Skills: Ability to develop predictive models and simulation tools
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: An application letter, A Curriculum Vitae, A digital copy and summary of the PhD thesis, Written references from 2 persons and contact details of them, Other documents that the candidate considers important for
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materials relevant to thermal energy storage, including conducting structural characterizations and studying their thermophysical properties. Proficiency in computational fluid dynamics (CFD) simulation
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root ecosystem services for carbon sequestration, nutrient cycling and relevant microbial communities. This includes assaying root – soil chemical interactions and imaging for simulation of soil health
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well as drought simulation to be applied to these eucalyptus (of the same clone, AEC144). Running these experiments in parallel will be of great value, between the precisely contrived conditions of the Ecotron
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design simulation studies using water, soil and crop modeling tools Compile and analyze experimental data, interpret results, prepare presentations and manuscripts, and publish in high-quality peer
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model improvements in simulating Moroccan and North African climate. Carry out evaluation of the model outputs and prospect possible changes to improve water cycle modeling, including precipitation
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to seek an optimal integration between the physical representations of the various processes and the computing power of the AI algorithms. Key duties Develop a robust framework to simulate streamflow