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functionality into microbial systems. The postdoc will develop machine learning algorithms to analyze phenotype and sequence data, as well as active learning algorithms to optimize and control experiments in
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: Applications to Refrigeration, Forensic Science, Hydrogen Storage and Carbon Capture Boulder CO 50.73.31.B7173 NIST High-performance Computing and Data Visualization for the NIST Fire Dynamics Simulator
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is high sensitivity magnetic scanning microscopy of these nano-objects, most likely using SQUID magnetometers. We are seeking a postdoc with background in scanning microscopy or magnetic instrument
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transformative potential in applications ranging from memory, batteries, catalysts, flexible devices, alternate computing paradigms, and quantum phenomena. In order to take advantage of the promising
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bridge the gap between classical fluid mechanics and the future of quantum-accelerated computation. We conduct high-impact collaborative projects at the dual frontiers of Measurement Science and
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301.975.3507 Description The future health care vision would involve the merging of technological advancements in several threads computing, imaging, and information technology; health care practice; and health
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processing with recent breakthroughs in densification of ceramics, like cold sintering[2] or ultra-fast high-temperature sintering [3]. Our effort at NIST focuses on developing predictive tools for
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sufficient qubit coherence remains a primary obstacle to achieving fault-tolerant quantum computing at a meaningful scale.1 We are examining a variety of constituent materials in superconducting quantum
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states have a variety of applications, including linear optical quantum computing, quantum metrology (e.g., Heisenberg limited interferometry), and fundamental physics (loop-hole free Bell measurements
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Martin Yeungjoon Sohn [email protected] 301 975 3155 Description The project aims to develop computational imaging microscopy using a table-top high harmonic generation EUV source for quantitative