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Optimization & Management of Power Allocation, Surface & Subsurface strategies), our Industrial Affiliates research consortium on large-load industrial growth in Texas — data centers, oil and gas operations
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Interpretation • Contribute to design, execution, and ongoing optimization of the hybrid trial evaluating COAST-AL across Mobile County Health Department (MCHD) service areas. • Support measurement and
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research projects with strong industry relevance, focusing on product development, process optimization and food characterization. Key Responsibilities Lead bench formulation of mushroom‑based and plant
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Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite element models for stability assessment, structural integrity, and dynamic response of floating
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mechanisms within potential CO2 storage complexes. Consequently, optimal deployment of CCUS solutions relies upon a robust understanding of fault network architecture in the subsurface. This project will
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focused on HIV prevention. Key Responsibilities Data Analysis and Interpretation • Contribute to design, execution, and ongoing optimization of the hybrid trial evaluating COAST-AL
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highly porous ZnOx and CuOy electrodes, as well as ZnOx/CuOy hybrid materials, respectively. This will allow optimizing their structural and electronic properties for enhanced catalytic performance. Photo
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structural MRI, diffusion MRI, and resting-state functional MRI. Ongoing data collection includes multimodal neuroimaging, actigraphy and physiological monitoring, electroretinography, and blood data. Role and
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a central role in advancing neuroimaging analyses and multimodal integration. Available datasets include structural MRI, diffusion MRI, and resting-state functional MRI. Ongoing data collection
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, agricultural landscapes, construction activity, and freshwater resources as a living regional laboratory to develop transferable methods for mapping, modeling, and evaluating industrial symbiosis opportunities