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& Environment – renewable energy integration and smart grid optimization; electrification, energy storage, and hydrogen technologies; urban energy modeling and environmental sensing; water-energy nexus and
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will include: 1) Working on an innovative autonomous monitoring and controlling loT system, 2) Utilizing loT sensor systems to improve water, fertilizer, and plant disease management in agriculture, 3
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both water tanks and with phase change material - PCM). Digital twins of the system for real-time decisions, based on petroleum field experience. LCA and economic conciderations. Modeling and reservoir
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assimilation, particularly 4D-Var; ocean modelling experience, particularly using ROMS; experience using ROMS 4D-Var. Ocean Sciences Department: https://science.ucsc.edu/department/ocea/ Qualifications Basic
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for enhanced water use efficiency in Arabidopsis thaliana model. The leading theme for the project will be to track variation in stomatal patterning across Begonias in correlation with environment and lineages
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, Clin Infect Dis 58: 1424–1429. https://doi.org/10.1093/cid/ciu102 Chalghaf B, Chemkhi J, Mayala B et al. (2018). Ecological niche modeling predicting the potential distribution of Leishmania vectors in
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Transferability, as well as Deep Learning for Complex Structures. These novel methods will be applied to practical tasks such as predicting European water storage, quantifying permafrost thawing, sea level budget