335 engineering-computation-"https:"-"https:"-"https:"-"https:"-"Kiel-University" positions at NIST
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RAP opportunity at National Institute of Standards and Technology NIST Creating Computational Techniques to Investigate the Ensemble Structures of Flexible Proteins In Combination with Neutron
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of structural responses for performance-based seismic engineering of tall buildings. Opportunities include the following: (1) developing improved modeling and analytical capabilities for nonlinear dynamic
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RAP opportunity at National Institute of Standards and Technology NIST Computational Modeling of Fracture and Fatigue in Hydrogen Environments Location Material Measurement Laboratory, Applied
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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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addition, the emerging "materials by design" paradigm places emphasis on the use the computation for the development and design of new materials. Candidates with an interest and background in computational
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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning for Autonomous Genetic Engineering of Microbial Systems Location Material Measurement Laboratory
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are encouraged to submit research proposals on the following topics: DFT and MD for computational dielectric spectroscopy Properties of electrochemical double layer (effects on the local polarization, structure
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Computational Methods for NMR Structural Biology and Biomanufacturing of Protein and Live Cell Therapeutics NIST only participates in the February and August reviews. Protein therapeutics
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energetics, thermodynamics, kinetics of protein-DNA interactions, and related phenomena, and connecting these measurements to organism fitness. Computation for engineering biology, such as RNA circuits, in
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Modeling of Magnetic Systems Location Information Technology Laboratory, Applied and Computational Mathematics