3 parallel-processing-bioinformatics Fellowship positions at Johns Hopkins University
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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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