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About the lab We are a newly established computational research group at the Translational Genomics Research Institute developing and applying pangenome methods to study genome variation and
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, Cancer Biology, Chromatin Regulation, Cancer Epigenetics, Epigenetics Regulation, Cancer Metabolism, Immunology, Drug Discovery, Development, and Structural Biology, with an emphasis on RNA epigenetics
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successful candidate, you will: This project with Dr. Nagarajan Vaidehi involves developing and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in
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treatment planning, treatment delivery and assessment of treatment outcomes. As a successful candidate, you will: Develop MR pulse sequences and perform image reconstruction. Conduct medical imaging post
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to vaccine development utilizing viral vectors to contribute to an effort in developing neoantigen expressing vaccines for clinical investigations. The position is available as part of a multi-disciplinary
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tools to identify novel signaling pathways to develop new targets for drug discovery. Our research interests include: 1) Liver-gut and microbiota crosstalk as metabolic mediators in regulating both normal
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. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable
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opportunity: · Development of cell-free DNA (mutation and methylation), RNA, and exosomal-based liquid assays for early cancer detection, prognosis, and predictive responses to chemotherapies and
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-seq and next generation long reads sequencing from Oxford Nanopore. · Participate in the development of new computational methods for downstream analysis of genomics data and multiomics
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career development. For more information about Dr. You’s lab, please visit here. As a successful candidate, you will: Lead independent and collaborative projects investigating the molecular and cellular