172 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at NIST
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extractions; mass spectrometry; and capillary electrophoresis. Other forensic-related applications of these techniques to the development of methods and/or standards are encouraged. key words Chromatography
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are interested in using Machine Learning and AI techniques to enable autonomous, AI-Driven, experimental research. There are many aspects of this nascent field that require further development. This includes
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may lead to developing techniques for the quantitation of polar and nonvolatile analytes in complex matrices. We are also interested in development of the quantitative potential of LC/MS/MS and MALDI
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@nist.gov 301 975 2093 Description This opportunity focuses on the development of analytical methods and/or data processing techniques that could be used to advance drug detection and identification (or drug
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via Cooperative Research and Development Agreements and the AI Consortium . The selected candidate will have the opportunity to contribute to impactful tooling, guidance, research, and best practices
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. The development of specific genome editing technologies leads to the emerging of epigenetic editing, which now allows the epigenetic editing at specific loci and enables direct study of functional relevance
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to predict materials properties is essential to improve materials design methods. This research will focus on the development and integration of first principle calculations; atomistic simulations; and/or
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, speciation). The project will focus on the design and development of front-end techniques, devices, and platforms with the potential to directly sample, or separate, analytes from complex matrices (e.g., dirt
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property data primarily intended for model development that investigate how the molecular size, molecular structure, and polarity of fuel constituents impacts their thermophysical properties. Measurements
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-eddy simulation and direct numerical simulation of the phenomena. Topics of interest include algorithm development numerical combustion, scientific visualization, and data analysis. key words Buoyancy