221 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions at NIST
Sort by
Refine Your Search
-
nanotechnology, material science, nano and quantum technologies. We look for candidates interested in in further developing NIST unique PTIR instrumentation (see description at: https://www.nist.gov/programs
-
near-field microwave microscopy. Journal of Magnetism and Magnetic Materials. 2022;546:168870. doi: https://doi.org/10.1016/j.jmmm.2021.168870 . Ferroelectric; Ferromagnetic; Frequency-tunable materials
-
Transducers Enable Chemical Composition and Thermal Conductivity Measurements at the Nanoscale. Nano Letters, 2017. http://pubs.acs.org/doi/abs/10.1021/acs.nanolett.7b02404 Roxworthy BJ, Aksyuk VA
-
, and Future Opportunities, Ann. Rev. Mater. Res. 49, 275-295 (2019). https://doi.org/10.1146/annurev-matsci-070218-010041 . 2. C. Wang, W. Ping, Q. Bai, H. Cui, R. Hensleigh, R. Wang, A.H. Brozena, Z
-
.; McLinden, M. O., Nuclear Magnetic Resonance (NMR) Spectroscopy for the in situ Measurement of Vapor-Liquid Equilibria. J. Chem. Engr. Data 2020, https://pubs.acs.org/doi/10.1021/acs.jced.0c00113 . Nuclear
-
of Data Compilations. Int. J. Thermophys. 2001, 22, 215–226. https://doi.org/10.1023/A:1006720022161 Diky, V.; Muzny, C. D.; Kazakov, A.; Paulechka, E.; Lemmon, E. W.; Bazyleva, A.; Townsend, S.; Renken, T
-
2023, DOI:10.3389/fmicb.2023.1133773 [2] W. Johnson, D. C. France, T. L. Kirschling, & F. L. Walls, “Resonator and process for performing biological assay,” U.S Patent US 9,725,752 B2 [2017]. https
-
(TraCR) database. For more information see https://www.nist.gov/community-resilience/assessment-products https://www.nist.gov/programs-projects/development-first-generation-community-resilience-assessment
-
alloys, carbon-based composites, and solid-state-biomolecule hybrid structures. Our data-driven development uses cheminformatics methodologies combined with machine learning methods to produce predictive
-
our data infrastructure is set up so that all microscopy datasets from all users are collected and archived at a central file location. In 2020, we have begun curating and labeling microscopy datasets