420 computer-science-intern "https:" "https:" "https:" "https:" "P" "Grenoble INP LCIS" uni jobs at NIST
Sort by
Refine Your Search
-
of Computational Materials Engineering (ICME) in an AI platform for industrial AM production. This research philosophy relies on a dual approach: Data Informatics & Analytics: Leading investigations into the root
-
RAP opportunity at National Institute of Standards and Technology NIST Cryptography Through the Lens of Quantum Information Science Location Information Technology Laboratory, Computer Security
-
measurements, Atmospheric Chemistry and Physics, 19, 4177–4192, https://doi.org/10.5194/acp-19-4177-2019 , 2019. Ycas, G., Giorgetta, F. R., Cossel, K. C., Waxman, E. M., Baumann, E., Newbury, N. R., and
-
RAP opportunity at National Institute of Standards and Technology NIST Development of New Computational Methodologies for Molecular Simulation of Soft Materials Location Material Measurement
-
browsing capabilities. A small subset of project relevant publications is listed below. Requirements:A candidate should have at least a master’s degree in computer science or related fields (PhD is preferred
-
Engineering, 2016. 96: p. 151-160. Ng, Lisa C., Andrew K. Persily, and Steven J. Emmerich. Improving infiltration modeling in commercial building energy models. Energy and Buildings, 2015. 88(0): p. 316-323
-
RAP opportunity at National Institute of Standards and Technology NIST Computational Metrology for Systems Biology and Medicine Location Information Technology Laboratory, Software and Systems
-
and Failure of the Surface-Stress "Core-Shell" Model in Brookite Titania Nanorods. Chemistry of Materials, 2020. 32(1): p. 286-298. Ab initio theoretical modeling; Active nanodevices; Atomic scale
-
. Bandyopadhyay, B. Heer, Additive manufacturing of multi-material structures, Mater. Sci. Eng. R Reports. 129 (2018) 1–16. https://doi.org/10.1016/j.mser.2018.04.001. [2] J. Guo, R. Floyd, S. Lowum, J.-P
-
NIST only participates in the February and August reviews. The Alternative Computing Group at NIST has an ongoing program developing new metrologies to support emerging information processing