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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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and Asian political economy. Specific Duties & Responsibilities Collaborate with faculty members on their research projects by conducting literature reviews, gathering, and analyzing data, and assisting
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transmitted to the larger organization. Qualifications § A PhD in Electrical and Computer Engineering, Applied Physics, or a related field § >3 years experience with Lumerical and Comsol electromagnetic
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-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements. § Implementing algorithms
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. - Develop new nonlinear finite element models to address key data gaps in steel component behavior. - Translate findings into technical guidance that informs seismic design for damage control, post
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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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for an ultra-high vacuum synchrotron end-station using CAD software. - Run, optimize, and document data acquisition codes (LabVIEW and Python) - Aid NIST staff in developing plans
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science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative
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Engineering, Mechanical Engineering, or a related field. § Ability to develop experimental apparatus using optics. § Ability to perform laboratory optical experiments. § Ability to analyze and model data
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oral and written communication in English language § Familiarity with scientific scripting languages. § Ability to develop prototypes of tools needed to analyze data. § Strong oral and written