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measurement assurance to support the control and rational design of biological function. Through state of the art synthetic biology, automation, and machine learning, the Group creates living measurement
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learning with machine-controlled measurement tools for closed loop experiment design, execution, and analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods
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and optimize separations design. We are seeking collaborators to work with NIST researchers to develop on-chip electric-acoustic spectroscopy to characterize intermolecular interactions in solution. We
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Engineering Group works to provide a foundation of measurement assurance to support the control and rational design of biological function. Through state of the art synthetic biology, automation, and machine
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circuit design and the signal-chain engineering. We will focus on an in-depth analysis of the correlations between the design of the charge circuit and the resulting level of noise and charge sensing
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of Magnetic Resonance,2018). Recent work includes design and fabrication of a metamaterial microresonator for EPR spectroscopy of sub-nanoliter volume samples (Abhyankar et al. Science Advances2020). Future
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addition, the emerging "materials by design" paradigm places emphasis on the use the computation for the development and design of new materials. Candidates with an interest and background in computational
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with high-speed and energy-efficient InP and GaN chips. This research opportunity at NIST’s Communications Technology Laboratory is focused building the tools and techniques that are required to design
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, speciation). The project will focus on the design and development of front-end techniques, devices, and platforms with the potential to directly sample, or separate, analytes from complex matrices (e.g., dirt
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design and data analysis at the NCNR using techniques such as reinforcement learning. key words AI; Machine Learning; Artificial Intelligence; Neutron; Eligibility Citizenship: Open to U.S. citizens Level