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postdoctoral associate level researcher interested and experienced in applied data science to work jointly with chemists, mathematicians, and computer scientists at NIST to participate in the characterization
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work that underpins the scientific research of the collaboration. Research Title: Process Modeling using Physically Informed Machine Learning The work will entail: § Designing and training physics
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other associates to develop optimized photonic test structures that will be incorporated in PIC process flows and enable extraction of key physical parameters associated with PIC performance, including
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Computer/Information Sciences Internal Number: A-168130-3 General Description Professor Gillian Hadfield is seeking a highly-qualified postdoctoral scholar to join her team at the Normativity Lab in
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goals. Safely install new alkali metal dispensers inside the CAVS and perform necessary vacuum system upgrades. Modify existing control software to ensure fail-safe operation of the CAVS vacuum system
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for integration of characterization systems into existing SURF III beamlines. - Prepares written reports and documentation for sample measurement, operation of instrumentation and safety