Current Positions

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Displaying 81–90 of 90 positions
Open PREP positions, sorted by start
Project Position Research Summary Sponsor Start Date Details
PREP0003110 Postdoctoral researcher
Model Reduction for Entanglement Routing
Ya-Shian Li-Baboud 1 April, 2025 View details for PREP0003110
PREP0003107 Postdoctoral researcher
Molecular fountain blackbody radiation metrology
Eric Norrgard 18 March, 2025 View details for PREP0003107
PREP0003030 Postdoctoral researcher
GIS Research Associate: Community Resilience
Jennifer Helgeson 28 February, 2025 View details for PREP0003030
PREP0002596 Postdoctoral researcher
Nanocalorimetry for Semiconductors and Semiconductor Process Metrology
Mark McLean 2 September, 2024 View details for PREP0002596
PREP0002587 Postdoctoral researcher
Development of Cell Count and Cell Viability Reference Materials for Cell Therapy Applications
Sumona Sarkar 2 September, 2024 View details for PREP0002587
PREP0002562 Postdoctoral researcher
(CHIPS) On-Wafer Standards Development of traceable, on-wafer standards for 5G, 6G, and beyond. The position requires finite element simulations, programming, network analysis, dimensional metrology, web-based programming, and other skills. The position will use on-wafer methods to develop standards for mmWave industry to validate the authenticity of integrated circuits.
Nate Orloff 12 August, 2024 View details for PREP0002562
PREP0002567 Postdoctoral researcher
Postdoctoral Research Associate in Fire Metrology
Rodney Bryant 8 July, 2024 View details for PREP0002567
PREP0002349 Postdoctoral researcher
Work will include handling, preparation and preconcentration of gas-phase samples, performing ultrasensitive CRDS, and interpreting data to infer the origins and/or composition of the carbon source material. Success will require the design and assembly of a CO 2 preconcentration system, and the control and automation of laser-based instrumentation. Further work will include the use of metrology tools like optical frequency combs and NIST pressure and temperature standards to establish traceability.
Adam Fleisher 2 May, 2024 View details for PREP0002349
PREP0002076 Postdoctoral researcher
The researcher will first investigate optimization-based and machine learning-based methods for CD inference of nanofeature arrays. First, the researcher will investigate an optimization-based method for CD inference to improve the method, to assess its ability to converge to the global minimum, and to quantify the uncertainty of the method. Second, the researcher will use neural networks and machine learning-based algorithms to design an AI-based method to estimate CDs of nanofeatures in arrays based on reflectance spectra of the nanofeature arrays.
Gregory W. Vogl 18 April, 2024 View details for PREP0002076
PREP0001644 Postdoctoral researcher
Development of an autonomous platform for growing and testing novel metal organic framework (MOF) materials for applications in carbon capture
Francesca Tavazza 13 August, 2023 View details for PREP0001644