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financial models. The position will include the analysis of hydropower operation and expansion, optimization and equilibrium, market penetration, and interdependencies. This description documents the general
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thermodynamic, kinetic, and transport phenomena. - Optimize the design and control of electrified processes to effectively manage the heterogeneous and dynamic feed compositions associated with non-traditional
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be
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transplantation research, leveraging pulsed focused ultrasound (pFUS) to modulate the tissue microenvironment, optimize islet delivery, and improve engraftment and function in both preclinical and clinical settings
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-related background signals in NGS datasets. Gain experience in defining, benchmarking, and continuously optimizing key performance metrics—including sensitivity, specificity, and limit of detection—through
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
: Optimizing waveguide geometries and micro-resonator architectures to enhance nonlinear optical conversion efficiency (e.g., via SPDC or SFWM) while maintaining high spectral purity. Dispersion Engineering
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, co-simulation, or hardware-relevant environments. Primary Responsibilities: Develop machine learning and AI methods for control, optimization, and cyber-resilient operation of distribution systems, DER
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Staff Job Description The postdoc will design and execute fermentation experiments (submerged and solid-state), optimize media and process conditions (DoE/RSM), and scale workflows from bench to pilot
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modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
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with the application of Algorithms, Artificial intelligence (AI), and Machine Learning (ML) methods to accelerate material discovery and design, optimizing manufacturing processes in nanoscience