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include analyzing whole-genome sequencing data, conducting genome assembly and gene annotation, performing variant calling and population genetic analyses, presenting research findings at national and
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electron microscopy and fatigue testing of metals Skills in in situ testing, FIB sample preparation, and image/data analysis tools (e.g., DigitalMicrograph, ImageJ, Python/Matlab) are beneficial. Strong
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protein engineering or rational vaccine design. Proficiency with computational tools for structure prediction, modeling, and analysis (e.g., Chimera, PyMOL, Phenix, Rosetta, AlphaFold). Experience mentoring
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the CLASS, ITERS/ECERS/FCCERS or other observational tools related to measuring the quality of early childhood settings and teaching practices Proficiency with SPSS, Mplus, and at least one other statistical