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example applications might include evaluation of data quality, assistance to beamline and experimental configuration, data analysis worklows, and integration into multi-model and multi-beamline measurement
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-process densification. Complementary computational model simulation capabilities are also available. [1] J. Ilavsky, F. Zhang, R.N. Andrews, I. Kuzmenko, P.R. Jemian, L.E. Levine & A.J. Allen; J. Appl
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structural techniques for probing the interface, such as SEIRAS and STM, with computational methods to develop new electrochemical models. The computational work focuses on combining DFT methods
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, adaptable facility that can be used to test advanced control algorithms, generate data for modeling of equipment, test new ideas for grid responsiveness, etc. References Pertzborn, A.J. (2022) ‘Implementation
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model of the world, need to collaborate with one another. To do so, the entities must continue to communicate as the situation changes; this involves constantly rebuilding their shared language as
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for achieving recovery-based objectives, (3) computing the collapse risk of new and existing buildings and infrastructure systems, (3) developing improved nonlinear modeling capabilities to evaluate the response
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characterize complex fluids and their interaction with other matters. However, measurements require interpretation that is aided by computational fluid dynamics (CFD) and computational fluid particle dynamics
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NIST only participates in the February and August reviews. The fire modeling community is actively working to develop the tools needed to quantitatively predict material and product flammability
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RAP opportunity at National Institute of Standards and Technology NIST Integrating Data and Computational Tools for Advanced Materials Design Location Material Measurement Laboratory, Materials
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Scattering will be used to perform structural characterization of flexible proteins, such as monoclonal antibody therapeutic drug platforms. The postdoctoral researcher will create computational models