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phases. This research will integrate a variety of modeling tools across multiple time and length scales to predict the microstructure evolution during the AM build process and post build thermal
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Description The Communications Technology Laboratories (CTL) at NIST is looking for a research assistant to work developing mm-wave components from complex oxides. This project will involve dc to 110 GHz
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Ravel [email protected] 631.344.3613 Description Develop methods of applying machine learning and artificial intelligence to synchrotron experimentation. This opportunity will be focused on operations
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develop an over-the-air metrology tool for generating and assessing waveform signatures. If successful this research will help to enable new hardware security tests based on physical measurements
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experimental measurements in support of nuclear decay data projects. The Associate will gain experience with digital coincidence techniques and x-ray and beta particle spectroscopy. In addition, the Associate
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will focus on microstructural modeling approaches, including both conventional phase field, phase field crystal; and level set methods, to understand the evolution of phase distributions, grain sizes
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. Furthermore, there is a need to understand how EUV resists may interface with other processing approaches such as block copolymer lithography. This project will utilize chemically sensitive scattering tools
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-sensitive focal plane arrays for use in CMB measurements. The sensor elements are superconducting transition-edge sensors that are read out by multiplexed SQUIDs. The research will involve the development
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techniques are explored. We will focus on the microstructural changes and chemical degradation on surface, individual layers, or interfaces in multilayer systems containing polymers. Recent work includes
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been extensively studied, so there are still many open questions about its limitations. In this research opportunity, the successful candidate will address these questions through design, simulation