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Communities; Flow Cytometry; Microbiome; Reference Materials; Bioinformatics; Engineering Biology; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base Stipend
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time and length scales to predict the microstructure evolution during the AM build process and post build thermal-mechanical processing. Some of these modeling tools include density functional theory
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well-structured form to the final industrial users. Recent advances in AI (Artificial Intelligence), specifically in NLP (Natural Language Processing) and ML (Machine Learning), are promising for
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phased array antennas, radio frequency signals design and processing, and mutlitmodal sensing. The project welcomes expertise in robotics, serial communication protocols and microprocessors, signal
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processing with recent breakthroughs in densification of ceramics, like cold sintering[2] or ultra-fast high-temperature sintering [3]. Our effort at NIST focuses on developing predictive tools for
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. In addition to fabrication and characterization of these measurement tools, we also develop new readout schemes, signal and data processing, control systems, and biomimetic surfaces to improve the
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researchers to contribute to the development and application of advanced measurement and automation techniques for exploring processing-structure-property-performance (PSPP) relationships in materials
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devoted to studies of quantum-state engineering and entanglement with application to quantum-information processing, quantum simulation, spectroscopy, and tests of quantum mechanics. Keywords Atomic
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processing and other areas at large scales by taking advantage of advancements in hardware and new neural network frameworks such as Recurrent Neural Networks and Transformers. We are now interested
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phone Lyle Edward Levine [email protected] 301.975.6032 Mark R. Stoudt [email protected] 301.975.6025 Description The extreme processing conditions of metal additive manufacturing create