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biochemistry, molecular biology, and cell biology methods with state-of-the-art technologies such as comprehensive mouse phenotyping, 3D tissue clearing & imaging, in vivo transplantation and 3D imaging
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, cell imaging and data analysis · Experience in statistical methodologies · Excellent written and verbal communication skills · Publications in peer-reviewed journals
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experience with coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience
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cancer. Work in the lab utilizes both genetically engineered mouse models and in vitro systems. A combination of state-of-the-art surgical, genetic, cellular, biochemical, imaging, and metabolic flux
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utilizes genetic mouse models, molecular biology, imaging and epigenetic techniques to study the cellular identity, function, remodeling, and survival of beta-cells in physiological and pathological
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responses to chemotherapies and targeted drugs. 2. Study the genetic and epigenetic basis of GI cancers (e.g., aberrant DNA methylation, histone modifications, and non-coding RNAs). 3. The genetic basis
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. Conduct imaging experiments using single molecule localization microscopy. Complete data analysis to characterize the molecular content of extracellular vesicles.
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computational biology, computational medicine, statistical genetics, biostatistics, computational chemistry, computer science, physics, statistics, mathematics, or applied mathematics. Substantial coding