412 application-forms "https:" "https:" "https:" "Stanford University" positions at NIST
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attracted considerable attention for potential application in nanoscale devices, including beyond-CMOS electronics, quantum computers, chemical sensors, photodetectors, etc. Prospective advantages over
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christina.hacker@nist.gov 301.975.2233 Description Incorporation of novel materials, such as molecular layers or 2D layers, into electronic paradigms enables transformative potential in applications ranging from
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the fundamental structure-property and processing-property relations that will enable these materials to provide the necessary performance in the wide spectrum of applications envisioned. For example, quantitative
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, health care, and nuclear security applications. No instrument today directly measures all decays in a sample with sufficient energy resolution to uniquely identify each radionuclide. NIST is developing a 4
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For Finding Class Encoding Patterns”, arXiv, Dec. 2022, URL [ 3] Nicholas J. Schaub et al., “Deep learning predicts function of live retinal pigment epithelium from quantitative microscopy,” Journal of Clinical
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kris.bertness@nist.gov 303.497.5069 Matt Brubaker matthew.brubaker@nist.gov 303 497 4167 Alexana Roshko roshko@nist.gov 303.497.5420 Description Semiconductor nanostructures offer new applications in areas
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position focuses on developing measurement methodologies to characterize mechanical properties and deformation behavior in advanced packaging applications. It involves: Design, application, and evaluation
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quantities for meaningful comparison. We lead the development of innovative standards and novel calibrations to achieve accuracy in localization microscopy [1, 2], with applications ranging from nanoplastic
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applications, the sensitivity of cryogenic instrumentation far surpasses that of conventional room temperature electronics. Consequently, NIST has a large program to develop detectors that operate
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informatics developers in the public-private-academic Genome in a Bottle Consortium to develop methods to integrate short-, linked-, and long-read sequencing technologies to form benchmarks for somatic variant