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dynamics prediction in various environments. key words Molecular dynamics simulations; Parallel algorithms; Spatial data structures; Bioinformatics; Eligibility citizenship Open to U.S. citizens level Open
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strain rates and temperatures. Identifying material properties and constitutive model parameters from the integrated data sets currently focuses on the finite element model updating (FEMU) method, but
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. Sriram sriram@nist.gov 301.975.3507 Description Systems biology involves gathering comprehensive sets of data that define and quantify the elements of a particular biological system and computationally
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smart electrical grid that increasingly relies on the use of intermittent renewable energy sources. Modern integrated building automation and control systems create an environment rich with sensor data
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capabilities for characterizing nanoparticles at the single-particle level. There will also be opportunities for interested candidates to develop advanced data processing techniques. microscopy; light scattering
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demonstrating the capabilities and utility of transcriptomic and proteomic techniques in diverse species, making data available and creating programmatic tools for comparing between species. Additionally
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. To embrace these changes, this project will develop a shared calibration service, where NIST and the customer share broadband integrated-circuit calibration artifacts, protocols, software, and data through
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algorithms to improve methods for peptide identification from raw mass spectral data. The use of orthogonal information such as multi-enzyme digestions, to verify the presence of a peptide using different
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absorption fine structure), development of data-analysis approaches and computer software for simultaneous structural refinements using multiple types of data combined with ab initio theoretical modeling
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sequencing data and other epigenomics data available for these cell lines to develop benchmarks for methylation of DNA or other epigenetics technologies. This postdoc could also work with the transcriptomics