413 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at NIST
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NIST only participates in the February and August reviews. Research focuses on the development and application of advanced multi-detector separation science techniques. Topics include characterizing
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RAP opportunity at National Institute of Standards and Technology NIST Block Copolymer Lithography Location Material Measurement Laboratory, Materials Science and Engineering Division
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RAP opportunity at National Institute of Standards and Technology NIST High-Resolution X-Ray Spectroscopy Using Microcalorimeter Detectors Location Material Measurement Laboratory, Materials
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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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RAP opportunity at National Institute of Standards and Technology NIST Advanced Nanoscale Property Characterization by Atomic Force Microscopy Location Material Measurement Laboratory, Materials
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RAP opportunity at National Institute of Standards and Technology NIST Data-Driven Technologies for Fluid Property Simulation Location Material Measurement Laboratory, Applied Chemicals and
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for accelerated science. This research opportunity focuses on developing, evaluating, and applying computational methods for materials characterization and/or simulation that combine the best aspects of physics
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RAP opportunity at National Institute of Standards and Technology NIST Applications of Machine Learning/AI to Neutron Scattering Location NIST Center for Neutron Research opportunity location
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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
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of the constraints on sequencing (read length, depth), and informatics (e.g., database composition, algorithm biases). Proposals should address these challenges with strategies to evaluate the metagenomic