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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
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international publication levels. Assist the research team in developing technical reports, extension materials, and policy and communication briefs. Run simulations using agro-economic models Assist and develop
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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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) to study water dynamics and drought scenarios simulation under close-to-field conditions, and (ii) a fully autonomous phenotyping robot, Phenomobile.v2+, equipped with a set of sensors (LiDAR, RGB, IR, and
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(mini-plots) to study water dynamics and drought scenarios simulation under close-to-field conditions, and (ii) a fully autonomous phenotyping robot, Phenomobile.v2+, equipped with a set of sensors (LiDAR
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. Process simulation, cost, life cycle, and social assessment of CCUS value chains. Reactor design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong
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of the AI algorithms. Key duties Develop a robust framework to simulate streamflow decomposed into fast-flow and baseflow at multiple Moroccan watersheds. The candidate would have to test various fast-flow
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at least some of the following competencies. Experimental development, testing, and demonstration of novel CCUS technologies. Process simulation, cost, life cycle, and social assessment of CCUS value chains
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discipline completed within the last 5 years. - Strong background in Multiscale simulations (ab initio calculations, Molecular dynamics, Computational modeling) and materials science. - Excellent skills and
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-IoT system/network considering communication and data fusion requirements. Conduct a theoretical analysis of the developed designs. Develop simulations (writing code) to support the theoretical findings