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in magnetic resonance imaging (MRI), hyperthermia for cancer and arthritis treatment, and drug delivery. However, the fundamental characterization methods for magnetic nanoparticles-both individually
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NIST only participates in the February and August reviews. More rigorous and advanced methods for the analysis of evidence are needed in forensic science and have been called for by the National
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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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pushed the limits of mass detection to spectral resolutions over 100,000, allowing for specific mass determination and unknown compound identification. Analytical methods and novel data-processing tools
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the carbon dioxide system in seawater using methods such as total alkalinity, total dissolved inorganic carbon, and spectrophotometric pH, (2) evaluation of synthetic solutions to measure ion fitting
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tools including (but not limited to) x-ray and ultraviolet photoemission, scanning probe microscopies, mass spectrometry, fluorescence and other optical methods, and local electronic transport
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measure structural changes as the agents go from their biologically active to their biologically inactive forms. As analytical methods become available, studies of the physical and chemical processes
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photolithography methods. The self-assembly of the block copolymer is directed by a template patterned by conventional lithographic methods. The block copolymer structure within the pattern template can amplify the
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consideration will be made to candidates with experience in automation or machine learning. The postdoc will join a group which is focused on pioneering applications of modern machine learning methods, FAIR data
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has an active effort in the development of electron microscopy methods for high spatial resolution materials characterization and has recently upgraded its aberration-corrected STEM with a high-speed