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implementing ultra-low flux melt refining for gas-fired, reverberatory, and other industrial aluminium furnaces. The work includes designing process recipes with flow control, thermal management, and alkali
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, high-impact research. Topic: Formation and Investigation of Conductive Tracks for Sensor Integration in Textiles Supervisor: Sandra Varnaitė-Žuravliova, Senior Researcher, Department of Textile
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electron spin resonance. For more information about the group, see: https://www.nist.gov/pml/nanoscale-device-characterization-division/nanoscale-processes-and-measurements-group/scanning . U.S. Citizen
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foot-print air pollution sensors that can offer accuracy, robustness, and scalability. About the role The successful candidate will have the opportunity to develop expertise in integrated photonic and
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or predictive modelling, edge AI, AI for biomaterials formulation, processing and manufacturing optimization. Wearable devices – wearable physiological sensors, smart textiles, soft robotics, and exoskeletons