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supervising studies that involve in vitro assays and in vivo mouse tumor models to understand mechanisms of immunotherapy resistance, exploration of pathways involved in signal transduction in different T cell
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, which has seen little improvement in patient survival over the past decades. Utilizing genetically engineered mouse and human glioma models, our lab investigates how glioma cells interact with the tumor
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supervising studies that involve in vitro assays and in vivo mouse tumor models to understand mechanisms of immunotherapy resistance, exploration of pathways involved in signal transduction in different T cell
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications
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the position Demonstrated expertise in organization and analysis of quantitative datasets and statistical modeling in Stata or R Excellent written, verbal, and interpersonal communication skills
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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling
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postdoctoral fellow interested in gaining trainingand experience in disease modelling and translational science. The successful candidatewill lead collaborative efforts among basic and clinical researchers and
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to transcriptomics Extract, analyze, and evaluate experimental data Develop and establish research controls and standards, including animal models (mouse) Plan and write manuscripts, articles, abstracts, and research
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qualification is required at time of hire. Required Qualifications Completed Ph.D. in Ecosystem or Landscape Ecology (or related field such as ecosystem modeling, biogeochemistry, or climate change ecology
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inferential statistics, model testing, and power analysis Desired Qualifications Demonstrated mentoring and teaching ability in the areas of statistical methods and use research-related tools Experience with