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, complemented by publicly available data, to examine transcriptomic dependencies on transcription factor abundance and somatic mutations. These efforts aim to enable pan-cancer subtyping and uncover regulatory
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for microbiological research and antibacterial drug discovery. The work mostly comprises of using various microbiological methods (e.g. antibacterial susceptibility testing, biofilm assays), designing, developing and
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microbiological methods (e.g. antibacterial susceptibility testing, biofilm assays), designing, developing and validating new assays, and utilizing various laboratory instruments for automation and detection
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into regulatory mechanisms. The research will leverage a large in-house dataset from iCAN, complemented by publicly available data, to examine transcriptomic dependencies on transcription factor abundance and/or
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, you will participate in testing and optimization of a minimally invasive single cell analysis platform. This nanotube-based novel technology utilizes ultrasensitive surface-enhanced Raman spectroscopy