181 computer-programmer-"https:"-"https:"-"https:"-"https:"-"IDAEA-CSIC" positions at NIST
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computed tomography, microscale and nanoscale structure and composition determined by scanning-electron and transmission-electron microscopy, and modeling the effects of microscale and nanoscale structure
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Information Technology Laboratory, Applied and Computational Mathematics Division NIST only participates in the February and August reviews. Machine Learning (ML) and artificial intelligence (AI
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structural techniques for probing the interface, such as SEIRAS and STM, with computational methods to develop new electrochemical models. The computational work focuses on combining DFT methods
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Material Measurement Laboratory, Materials Measurement Science Division/Brookhaven Lab NIST only participates in the February and August reviews. This postdoctoral fellowship aims to study the relationship of structure and function in chemical and material systems by the integration of...
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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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driven flows; Combustion; Computational fluid dynamics; Fire modeling; Heat transfer; Large eddy simulation; Numerical combustion; Thermal radiation; Turbulent flows; Eligibility citizenship Open to U.S
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RAP opportunity at National Institute of Standards and Technology NIST Immersive Visualization Location Information Technology Laboratory, Applied and Computational Mathematics Division
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classification of scientific publications by their relevancy have been done at TRC. A successful applicant is expected to have a strong background in computer sciences, particularly in AI, NLP, and ML. No specific
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quantitative analysis including rheology, DSC, scattering, etc. Concurrently, computational modeling will be used to predict both structure-property relationships and degradation rates based on the number and
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with strain engineered into the channel to improve carrier mobility while residual strains from manufacturing processes can lead to mechanical failures. Similarly, quantum computing architectures use