363 engineering-computation-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" positions at NIST
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part of a research recommendation engine to guide researchers in the lab. The algorithms integrate machine learning, solid state physics, on-the-fly physical experiments, on-the-fly simulations
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RAP opportunity at National Institute of Standards and Technology NIST Characterization of Interfaces and Interphases in Polymeric Material Systems Location Engineering Laboratory, Materials and
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; materials; chemistry; engineering
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RAP opportunity at National Institute of Standards and Technology NIST Microstructural Modeling of Additively Manufactured Materials Location Material Measurement Laboratory, Materials Science
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NIST only participates in the February and August reviews. Research on photovoltaics focuses on the development of new and improved device characterization methods for various cell technologies and the improvement of measurement science to reduce uncertainties associated with the power rating....
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employed. This involves the computational determination of 3-D features of a specimen from a series of their 2-D projections. By carefully preparing the specimen, designing the experimental acquisition, and
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RAP opportunity at National Institute of Standards and Technology NIST Label-Free Cell Imaging Using Advanced Vibrational Spectroscopy Location Material Measurement Laboratory, Biosystems and
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RAP opportunity at National Institute of Standards and Technology NIST Experimental and Numerical Assessment of Degrading Reinforced Concrete Structures Location Engineering Laboratory
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RAP opportunity at National Institute of Standards and Technology NIST Materials Modeling, Characterization, and Design for Plasticity Location Material Measurement Laboratory, Materials Science
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RAP opportunity at National Institute of Standards and Technology NIST Mass Spectrometry and Chemometrics for Forensic Science Location Material Measurement Laboratory, Materials Measurement