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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month ago
optimization of energy and water usage to reduce operating costs, improve system performance, and advance institutional sustainability goals. Working closely with Facilities Maintenance, Capital Projects, and
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Materials Science, Characterisation Materials Science, Defense Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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, optimize, and maintain robust computational pipelines for single-cell and multi-omic data analysis, including scRNA-seq and spatial transcriptomic datasets. Establish and maintain workflows for 10x Genomics
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Thin-film fabrication, processing optimization, and experimental troubleshooting Materials characterization using techniques such as GIWAXS, Raman, FTIR, UV-vis, and electrical transport measurements
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of heterogeneous technologies are increasing the complexity of power delivery, thermal management, and energy optimization across the entire computing stack. Emerging technologies such as fine-grain 3D integration
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application! Work assignments The project focuses on electro-enzyme coupled catalysis and reactor system optimization for sustainable energy and chemical conversion. The research will explore the integration
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. Knowledge of renewable energy systems (hydropower, wind, solar) and their grid integration. Experience in mathematical modeling, optimization algorithms, and data-driven methods. Possess a strong academic
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) energy storage system for the simulation, analysis, and optimization of its operation within complex energy systems. The model will be used to support predictive energy resource management and the
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Interfaces (https://lepmi.grenoble-inp.fr/en ). Project Overview Water, which covers 71% of the Earth's surface, is the largest energy reservoir on the planet and captures approximately 35% of the solar energy
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studies investigating target-directed microRNA degradation (TDMD) in T-cell acute lymphoblastic leukemia Establish, optimize, and maintain T-ALL experimental systems, including cell line, primary patient