450 computer-science-intern-"https:" "https:" "https:" "https:" "University of St" "St" positions at NIST
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NIST only participates in the February and August reviews. NIST has recently launched a program to develop high accuracy 3D thermal imaging and control using thermosensitive magnetic nano-objects
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RAP opportunity at National Institute of Standards and Technology NIST Identifying Material Behavior from Measurements and Simulations in Advanced Mechanical Testing Location Material
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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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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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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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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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RAP opportunity at National Institute of Standards and Technology NIST Generating Ontologies from Domain Corpora using Artificial Intelligence Techniques Location Information Technology
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manufacturing of metal components through laser powder bed fusion have been increasingly embraced across a variety of industries and applications. But, broader adoption of this manufacturing technology—especially
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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