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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 5 hours ago
) at the IT4Innovations, at the Material Design group of Dr. Dominik Legut within the Modeling of Nanotechnology Lab, is open to applicants for studying MATERIAL PROPERTIES OF MAGNETIC MATERIALS by means of the spin
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modelling of 106Ru atmospheric transport in 2017 over northern hemisphere, Journal of Environmental Radioactivity, Volume 275, 2024, 107416, ISSN 0265-931X, https://doi.org/10.1016/j.jenvrad.2024.107416
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conversion and oxidation processes. The associate will be responsible for conductinglaboratory experiments, analyzing isotope data, and integrating these findings into atmospheric models to enhance
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Modeling Core is home to a consortium of postdoctoral fellows who provide modeling expertise for a wide range of projects as integral members of those research teams. Unit URL https://imci.uidaho.edu
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Infrastructure? No Offer Description Mission: Analyze the dynamics associated with atmospheric and oceanic heat waves in the Euro-Mediterranean region through climate simulations with the SPEEDO model. Functions
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neural networks (CNNs) for extracting features from full-field atmospheric data Demonstrated experience coding in Python Experience modeling unsteady wind loads from atmospheric flows Experience in flight
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“SUPRABOT – Swarming Supramolecular Robots”, which aims to develop synthetic supramolecular robots capable of autonomous motion and collective behavior under non-equilibrium conditions. The successful
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researcher will develop, implement, and apply advanced ways in inverting a radiative transfer model for forest trait and uncertainty mapping at satellite, airborne and drone levels. She/he will explore
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
. The candidate may help develop a projection layer that connects predicted geospatial features and metrics to an open-source large language model (LLM), enabling natural-language queries over forest conditions and
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), multimodal vision and language models, and Large Language Models. Please find prior work here: (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate