4,775 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions
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hydrogen more affordable by developing advanced models while working with partners across Europe? Information This position is part of a large European collaborative project aimed at accelerating renewable
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leap in the battery development is expected to be lithium solid-state batteries (SSB), allowing the replacement of the flammable organic electrolyte in Li-ion batteries with a safer and a more compact
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-supervised by Prof. Jenny Nelson (Imperial College London), and Dr. Riccardo Rurali (ICMAB-CSIC). Main tasks: • Develop atomistic and coarse-grained models of the structure and dynamics of molecular
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 22 days ago
addressing this question by developing advanced algorithms to derive aerosol properties from satellite limb sensors operating in the UV, VIS, and NIR ranges. This work will also involve analyzing aerosol
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Computing and Mathematical Sciences Division - Postdoctoral Researcher: CryoSTEM Foundation Models Mohamed bin Zayed University of Artificial Intelligence Location Abu Dhabi, UAE Open Date Jul 14
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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) / InP contact layer (200 nm) / Si substrate The objective of the project is to develop a plasma etching process for this multilayer stack, enabling selective etch stopping on the InP contact layer, which
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. For more information about the RNA Technologies Flagship, visit: https://rna.iit.it/ The project aims to develop a new generation of artificial intelligence models to systematically investigate the role
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the CARNOT HyLBM project, which aims to develop advanced numerical models for hydrogen storage in nanostructured metal hydride reactors. The researcher will contribute to the development of advanced
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particular in terms of seismic risks and underwater noise pollution, by relying on numerical modeling of seismo-acoustic wave propagation generated by underwater explosions and on seismic and acoustic data