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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 1 month ago
absorption. Developing fast spectral radiance simulation techniques and implementing the observational system simulation experiment (OSSE) based on GISS climate model, which will be applied to research
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the magnetospheric and planetary orbiters of BepiColombo, and comparing with numerical simulations, the project aims to provide completely new and critical insights into Mercury's magnetospheric ion dynamics. 1
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effects of species invasions along environmental gradients and their consequences for community- and ecosystem-level responses, using native and invasive freshwater snails as a model system. The project
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power electronic design, modelling and simulation tools, and hardware development Knowledge of digital control implementation, testing, and characterization of power electronic components is expected
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models. In addition, it will use Crispr-Cas9 approach to knockdown important transcription factors, such as Snail and Twist, in triple-negative breast cancer cell lines to examine the functional role and
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California State University, San Bernardino | San Bernardino, California | United States | about 9 hours ago
, diffusion models), or network simulation tools (e.g., ns-3). Prior research experience in academia or industry. Proficiency with LaTeX and technical writing. SPECIAL CONDITIONS The person holding
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information, resources, and strategies to navigate campus systems effectively. Model empathy, transparency, and care to reduce student anxiety or stress. Ensure students feel safe, heard, and respected during
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Offer Description Development of atomistic ab-initio simulations and machine learning models for the study of phonon transport, phase transitions, and structural optimization of phase change materials
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in a team environment Preferred Qualifications Experience or familiarity with some of the following tools is strongly encouraged: Adobe Creative Cloud or similar creative software 3D modeling and
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-learning–based segmentation, classification and tracking for microbes and microgels in phase-contrast and fluorescence images Optimise these models and pipelines for real-time performance and integrate them