57 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Caltech" positions at NIST
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, Toronto, ON . Pertzborn, A. J., Veronica, D.A. (2021) NIST Technical Note 2178: Baseline Control Systems in the Intelligent Building Agents Laboratory. doi: https://doi.org/10.6028/NIST.TN.2178
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ability to accurately predict increasingly complex burning scenarios (e.g., varied sample/product configuration and scale). Further details of the project are available online: https://www.nist.gov/programs
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directed evolution. This position requires expertise in Computer Science, Statistics, or a similar field. Experience with machine learning, genetics, and/or bio-informatics is strongly preferred. The
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, A. Playford, H.Y., Ravel, B., Levin, I., “Incommensurate modulation and competing ferroelectric/antiferroelectric modes in tetragonal tungsten bronzes,” Chem. Mater., https://doi.org/10.1021
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of constitutive laws for new materials based on the initial crystallographic texture and uniaxial stress-strain data, thereby predicting the evolution of the yield surface in multi-axial tensile space
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: https://www.nist.gov/programs-projects/nanoscale-imaging-and-spectroscopy-ir-nir-vis-beyond-diffraction-limit ) and/or applying PTR on specific materials or nano systems with efforts balanced based
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Roxworthy BJ, Aksyuk VA: Nanomechanical motion transduction with a scalable localized gap plasmon architecture. Nature Communications 7: 13746, 2016. https://dx.doi.org/10.1038/ncomms13746 Brian J. Roxworthy
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.; Garboczi, E.; Widegren, J. A.; McLinden, M. O., Nuclear Magnetic Resonance (NMR) Spectroscopy for the in situ Measurement of Vapor-Liquid Equilibria. J. Chem. Engr. Data 2020, https
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plasticity, where genetic drift, transgene instability, or chromosomal rearrangements can alter product quality or yield over time. Understanding this genomic evolution is essential for assuring the
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@nist.gov 301.975.0527 Description Machine Learning (ML) and artificial intelligence (AI) are beginning to broadly impact physics: from probing the evolution of galaxies to calculating quantum wave