16 signal-processing positions at NIST

Microstructural Modeling of Additively Manufactured Materials

and subtractive machining. At the same time, additive materials are subject to extreme conditions that can include repeated thermal cycling both near and beyond the melting point and mechanical

Machine Learning for Wireless Communication Systems Testing

include deep generative modeling and reinforcement learning for automated systems testing. You will develop advanced algorithms for machine learning and signal processing, while working together with world

Electronic and Optomechanical Measurements of Biomolecules

designs. 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

Fundamental Studies of Transduction Phenomena for Microscale and Nanoscale Chemical/Biochemical Sensors

, optical) can be employed in generating useful signals, but they all involve fundamental processes such as adsorption, diffusion, binding/hybridization, reaction, desorption, and charge transfer. Analytical

Conductivity and Resistivity of Materials

Measurements that define the electrical properties of materials such as metals, foils, metallic paints, glass coatings, and silicon wafers are of increasing importance for silicon photovoltaic processing

Acoustic-electric microfluidic spectroscopy

materials characterization techniques. We will develop on-wafer acoustic microfluidic devices. Necessary skills include finite element simulations, digital signal processing, fabrication, materials

Johnson Noise Thermometry with Superconductive Waveform Synthesizers

methods, and digital signal processing and network modeling. Other research topics are High-Tc superconductive Josephson junction array waveform synthesizers and compact cryogenic design for the development

Enabling Research for Next-Generation Chemical and Biochemical Sensing

and signal-acquisition circuitry, and signal-processing/pattern-recognition algorithms. The sensors must be tailored for the particular nature of a given chemical or biochemical measurement problem by

Advancing Health Information Technology

in various research activities related to computing and information technology. Specific areas of interest include intelligent medical devices; signal/data collection and processing from various

Mechanisms and Kinetics of Membrane Protein Crystallization in Self-Assembled Mesophases

separation, energy converting biological processes, and signal transduction. However, despite their obvious importance, atomic structures have been determined for only a few dozen of these proteins because