437 computer-science-programming-languages-"Prof"-"University-of-Strathclyde"-"Prof" positions at NIST
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RAP opportunity at National Institute of Standards and Technology NIST Models and Protocols for Accelerated Simulations of Molecular Interactions and Dynamics Location Information Technology
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performance. References Dols WS, Emmerich SJ, Polidoro BJ: Using Coupled Energy, Airflow and IAQ Software (TRNSYS/CONTAM) to Evaluate Building Ventilation Strategies. Building Services Engineering Research and
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switched with single-flux-quantum (SFQ) pulses. Candidates interested in the logic aspects of this program should contact Sam Benz. Candidates interested in the magnetic memory aspects of this project should
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RAP opportunity at National Institute of Standards and Technology NIST Methods and Applications in Ab Initio Thermochemistry Location Material Measurement Laboratory, Chemical Sciences Division
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843.460.9894 Description The Analytical Chemistry Division has an ongoing program to improve the quality of analytical chemical measurements made in marine environmental research through analytical methods
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jessica.reiner@nist.gov 843.460.9894 Description The Analytical Chemistry Division has an ongoing program to improve the quality of analytical chemical measurements made in marine environmental research through
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jessica.reiner@nist.gov 843.460.9894 Description The Analytical Chemistry Division has an ongoing program to improve the quality of analytical chemical measurements made in marine environmental research through
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RAP opportunity at National Institute of Standards and Technology NIST Microfabricated Magnetic Sensors and Novel MRI/NMR Agents and Microdevices Location Physical Measurement Laboratory
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NIST only participates in the February and August reviews. Community Resilience Metrics The Community Resilience Program (https://www.nist.gov/community-resilience) is developing science-based
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correlations and prediction methods. The program will build on our existing efforts using Quantitative Structure-Property Relationship (QSPR) methodologies and modern machine learning methods (support vector