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RAP opportunity at National Institute of Standards and Technology NIST MEMS-Based Scanning Probe Microscopy Location Physical Measurement Laboratory, Engineering Physics Division opportunity
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RAP opportunity at National Institute of Standards and Technology NIST MRI-Based Multimodal Imaging and Enhanced MR Imaging Location Physical Measurement Laboratory, Applied Physics Division
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301.975.4539 Description The application of artificial intelligence (AI) in experimental material measurement science involves the union of physical infrastructure (e.g., synthesis and characterization equipment
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two-dimensional (2-D) projection of the underlying physical or chemical structure. To characterize the three-dimensional (3-D) makeup of a specimen, electron tomography is often employed. This involves
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simulation techniques. In addition, simulations and examination of the overall separation process may require computational studies across multiple length scales. key words Modeling; Nanotube; Molecular
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digital models through an additive process. AM enables the rapid production of complex parts with minimal lead time, fewer constraints, and reduced assembly requirements. This makes it an attractive option
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understanding of the physics of the QAHE necessary to design and develop new quantum resistance standards. Additional applications in quantum information science (QIS) can be envisioned for robust QAHE devices
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://www.ctcms.nist.gov/oof/ . Opportunities exist in image analysis, materials science, physics, and computer science. key words Computation; Finite element modeling; Microstructures; Eligibility Citizenship: Open to U.S
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consolidation of precursor metal materials into metal 3D parts and structures, enabling complex geometry and material designs. The fundamental physics of these processes is relatively complex, involving various
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compared to powder bed fusion technologies. The goal of this research opportunity is to develop new methods for their integration into machine, process, or part qualification and providing benchmarking