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leadership in agricultural discoveries through scientific excellence. Research Project: USDA-ARS in Manhattan, KS is developing affordable remote-sensing tools to rapidly detect insect activity and grain
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of the materials, with particular emphasis on the distribution of the binder at grain–grain contacts and within the intergranular space. - Analyze the mechanical behavior of granular assemblies, at both the contact
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permanent magnet. You will use our state-of-the-art open source micromagnetic model MagTense to perform this modeling work. You will research determining the ideal microstructure, for example grain size
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 24 days ago
Cosmochemistry. Your Tasks Preparation and characterization of presolar grain separates from primitive carbonaceous and non-carbonaceous meteorites Isotope measurements on individual presolar grains and grain
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
potential landing sites on the Moon. Coherent rock has a higher thermal inertia than fine-grained regolith, meaning it cools more slowly during the lunar night. Observing infrared radiance at multiple
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 20 days ago
next-generation qualification processes for aerospace structures. Computational efforts in this area are focused on crystal plasticity and damage modeling at the grain scale, with particular interest in
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algebra, rings and algebras Eyal Kaplan Automorphic forms and Representation Theory Emanuel Lazar Applied and computational mathematicsPhysics, materials science, and grain boundaries Nir Lev Harmonic
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the atomic-scale competition between copper and silicon at grain boundaries and oxide interfaces, delivering atomistic insights directly relevant to improving the recyclability and processability of both
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-generation circular steelmaking. Using advanced atomistic modelling techniques, you will unravel the atomic-scale competition between copper and silicon at grain boundaries and oxide interfaces, delivering
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communication, and functional adaptation across a wide range of disease-relevant systems. The successful candidate will use enhanced-sampling molecular dynamics, coarse-grained elastic network models, Markov