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to learn and lead exciting research projects that blend methods in pharmacoepidemiology with Artificial intelligence (AI)/Machine learning (ML) techniques to generate real-world evidence on the use
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. The candidate will have the opportunity to learn and lead exciting research projects that blend methods in pharmacoepidemiology with Artificial intelligence (AI)/Machine learning (ML) techniques to generate real
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experience - Applicant is required to have a PhD degree in Microbiology or relevant. Applicant must be proficient in using computer programs such as Word, Powerpoint, Excel and Graphic tools. Statistical
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or relevant. Applicant must be proficient in using computer programs such as Word, Powerpoint, Excel and Graphic tools. Statistical, Bioinformatics analyses programs. Desired Experience - Experience in
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such as flow cytometry, immunohistochemistry, molecular biology, computational biology, single cell sequencing, phage display, and other advanced genetic screening techniques may be helpful, the ability and
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the areas of free speech, academic freedom, and/or civil discourse. Participate actively in Chase Center events and the student program, including by helping to organize the annual conference and symposium
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academic outlets. Develop and effectively teach courses that advance the Center’s mission. Participate actively in Chase Center events and the student program. Engage in service to the Chase Center