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Field
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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 20 days ago
simulations of interstellar and cometary ices have found that the solid remaining after ice sublimation contains complex organics. Analysis of the ice during processing reveals molecular changes, though
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Act a copy of our crime statistics can be viewed here . Visit our WHY WORK HERE page to learn about the total rewards we offer. SUNY Research Foundation: A Great Place to Work. The starting salary
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learning. The successful applicant will work with Assistant Professor Abigail Bodner, leveraging results from a state-of-the-art large-eddy simulation based on Oceananigans.jl that resolves scales ranging
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simulations. Related fields with similar expertise will be considered as well. The incumbent will contribute to research that develops, analyzes and maintains both observational and numerical model data sets
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
on vertical integration of multimodal single-cell datasets, including single-cell DNA copy number, RNA expression, chromatin accessibility, protein abundance, protein localization, and cytogenetic imaging
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that accelerate excited-state simulations, integrate them into open-source scientific workflows, and validate their accuracy and performance on energy-relevant molecular and materials systems. You will also create
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the Peng Research Group . The successful candidate will conduct research at the intersection of scientific AI, atomistic simulation, computational catalysis, and data-driven materials discovery. The position
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recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Postdoctoral Research Fellow: AI, XR, & Human-Centric Simulation We
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission