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multi-omics, tumor immunology, and in vivo genetically engineered mouse models. By bringing these approaches together, we strive to generate insights that will translate into better therapies and improved
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both modeling and physical experiments of the structure and thermo-mechanical response of single and polycrystalline shape memory alloys; prepare reports, manuscripts, and proposals, advise undergraduate
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cell culture, phylogenetic analyses of large next-generation sequencing (NGS) datasets, and models of trait evolution. The post doc will also integrate molecular data with comparative and evolutionary
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iPSC-derived models and mouse systems, and a translational focus toward clinically relevant therapies. Research will utilize electrophysiology as well as molecular biology workflows; comfort with
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through designing and conducting gene expression experiments in non-model systems, developing computational pipelines to study gene family evolution, and analyzing and interpreting genomic and gene
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in brief cognitive, behavioral, and mindfulness-based treatments for anxiety; and modeling who benefits most from learning many emotion regulation skills or a single emotion regulation strength
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, and the integration of telemetry, demographic, and environmental data. High proficiency in R or comparable programming languages is required, and experience with statistical modeling, geographic
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, immunology, molecular biology, proteomics, animal modeling and mouse genetics, translational medicine, and/or the use of human tumor models of solid tumors (e.g. breast cancer, colon cancer, neuroblastoma
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under the guidance of his/her scientific mentor to investigate the interoception neuron circuit using the zebrafish model; independently designs new analytical approaches and tools; performs experiments
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the behavioral side effects of cancer chemotherapy that are associated with inflammation. We will use mouse modeling to study mechanisms and run a pilot clinical trial in women with breast cancer. We