429 computer-science-programming-languages-"Prof"-"Durham-University"-"Prof" positions at NIST
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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
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NIST only participates in the February and August reviews. This suite of projects seeks to advance the microbial metabolomics infrastructure through the development of new analytical methods, including data analysis and novel statistical approaches. We are particularly interested in...
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Causal Green’s Function for Modeling of Phonon Transport in Nanoscale Semiconductors: Application to Devices for Thermal Management and Energy Applications NIST only participates in the February and August reviews. Efficient thermoelectric and thermal management devices consist of complex...
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RAP opportunity at National Institute of Standards and Technology NIST Applied Mathematics of Soft, Fluid, and Active Matter Location Information Technology Laboratory, Applied and Computational
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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 Combining Theory, Simulation, Machine Learning, and Autonomous Experiments for Industrial Formulation Discovery Location
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RAP opportunity at National Institute of Standards and Technology NIST Nanoscale Characterization of Photovoltaic Materials and Devices Location Physical Measurement Laboratory, Nanoscale Device
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301.975.8582 Michael Garth Huber michael.huber@nist.gov 301 975 5641 Description This program explores complementary aspects of atom and neutron interferometry with particular emphasis on their interplay with
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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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determined by geometry, microstructure, chemistry, dimensional scale, proximity to other materials, and exposure to external stressors. Integration of powerful characterization techniques and reliability tests