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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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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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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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. The exact nature, duration and timing of the Oxford residency is flexible and case-specific. Fellows will become integrated members of the ongoing post-doctoral training programs at both Institutions and have
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Asia, such as the JET Program, preferred. Fluency in relevant languages such as Japanese, Korean, or Chinese. Minimum Qualifications Bachelor's Degree in related discipline. Classified Title: Research
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Python and/or MATLAB - Excellent written and oral communication skills - Strong publication record in leading peer-reviewed journals Application Instructions Please upload the following
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the JET Program, preferred. Fluency in relevant languages such as Japanese, Korean, or Chinese. Minimum Qualifications Bachelor's Degree in related discipline. Additional related experience may
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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
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and instrumentation. Familiarity with design and simulation tools like SolidWorks, Autodesk Inventor, MuMax, OOMMFi COMSOL, or similar. Familiarity with the programming languages Python, Matlab