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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 North Atlantic throughout the year, using a combination of literature review, observational data, tracking and stable isotope data, as well as model and simulation results study the distribution
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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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economic incentives for providers to deliver consistent, high-quality services. The system integrates attestation protocols and a stake-weighted reputation model that dynamically reflects verified
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Duke University, Wuhan University and the Municipality of Kunshan, China ( https://dukekunshan.edu.cn/ ). Our campus provides an innovative and robustly interdisciplinary undergraduate liberal arts
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. About Entity
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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
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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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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https