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approaches developed in the lab, and develop novel cancer immunotherapies targeting metastatic cancer cells. Cancer immunotherapy is one of the most important breakthroughs in the development of cancer
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a multidisciplinary research team. You will work closely with Assistant Research Faculty to prepare, manage, and clean research data for analysis, with a strong preference for candidates who have
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of biomarkers.The project involves employing super-resolution microscopy approaches to characterize extracellular vesicles that contain disease-specific molecules. Ultimately, the goal is to develop a new platform to
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aging and age-associated metabolic disorders. Ultimately, the lab’s aim is to mitigate pathogenesis and develop effective treatments for chronic metabolic diseases. The lab has developed unique and
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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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staff and is responsible for the development and execution of major research projects and performs state-of-the-art, complex research projects in collaboration with the other researchers, making
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involves developing and application of interpretable machine learning methods combined with physics based molecular dynamics simulations to uncover allosteric regulation of disordered regions in the dynamics
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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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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