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on modelling, optimization, control, and AI applications for smart buildings. The work includes collaboration with international research and industrial partners, publication of scientific articles, and
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. This position will focus on designing, optimizing, and implementing chemical biology and sequencing-based approaches to better understand how RNA structure and dynamics influence protein recognition
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Overview The College of Engineering is seeking a qualified candidate to support a new NSF-funded project (https://www.nsf.gov/awardsearch/show-award?AWD_ID=2602821) investigating coordination in squid
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of semiconductor and perovskite nanoparticles, whose chemical composition, shape, size and surface chemistry will be engineered in order to: a) optimize their optical properties with respect to their ability
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projects focusing on hPSC differentiation, and modeling neurodegenerative diseases. ● Standardize and optimize advanced molecular and imaging assays ● Analyze complex multi-omic or functional datasets
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scales from microchannels to full rack systems (5.) Develop physics and AI-based models to elucidate physics, perform optimization, and create surrogate models for system level simulators (6.) Participate
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 24 days ago
ocean models, available in-situ data, and satellite observations. The study builds on analyses from a consortium of models, such as Estimating the Circulation and Climate of the Ocean (ECCO, http
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes. Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph
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on identifying suitable electrode materials and optimizing reaction conditions, electrolyte composition, and solvents, using three-electrode configurations and organic carbonate-based media. Building
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. The successful candidate will contribute to projects aimed at understanding bacterial resistance mechanisms, optimizing antimicrobial therapies, and elucidating host immune responses to infection. This position