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to participate in interdisciplinary collaborative projects with other faculty members involved in the grant (statistics/data science, HDFS, psychology), and with other lab collaborators both within and outside
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CRISPR/Cas9 techniques to manipulate DNAm at promising sites. Lead the write-up of scientific papers to disseminate research findings through high-impact journal publications and conference presentations
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of mental health risk. Assist data analyst in performing data acquisition, storage, cleaning, and pre-processing for large-scale, longitudinal studies. Lead the write-up of scientific papers to disseminate
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‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering, Materials Science, or related Engineering discipline
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is a transdisciplinary collaboration of over 30 investigators from the colleges of Agriculture, Engineering, Liberal Arts, Libraries, Polytechnic and Science that integrates expertise in AI/ML