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Laboratory, Software and Systems Division opportunity location 50.77.51.C0391 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Ram D. Sriram [email protected]
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Advancing the state of the art in measurements of sound, vibration, force, acceleration and velocity
information into neural networks for modeling dynamic systems; use of uncertainty information to improve the performance of sensor-network based measurements employing machine learning; uncertainty
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. This problem becomes even more pressing for simultaneous multi-qubit operations. The goal of this project is to develop software tools for the automated tuning of high-fidelity readout and gates in silicon spin
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Description We are seeking a NIST postdoctoral Fellow within the Materials Measurement Science Division . This postdoc will be a key member of a new project to develop an autonomous platform for developing and
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, computer scientists, data scientists, and data engineers to define and implement community standards for knowledge representation and interchange. The successful applicant will conduct novel research in
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to dramatically improve both speed and energy efficiency compared to von Neumann architectures. The goal of this project is to develop new neuromorphic circuits, for example hardware based spiking neural networks
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wide range of experience with computational materials, software development, and/or additive manufacturing is welcome. [1] Toward a Standard Data Architecture for Additive Manufacturing, Li, S., Feng, S
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) and have a background in imaging, image analyses, machine learning, and software engineering. References: (1) A. J. Brooks et al, “Neutron interferometry detection of early crack formation caused by
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are essential for broad adoption of these methods, this postdoc would collaborate with a unique array of technology and informatics developers in the Genome in a Bottle Consortium to develop authoritative de novo
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. A key component of the project is high sensitivity magnetic scanning microscopy of these nano-objects, most likely using SQUID magnetometers. We are seeking a postdoc with background in scanning