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immune responses in cancer. Lead Data Analysis and Computational Modeling Apply coding and computational tools to analyze large datasets, synthesize findings, and generate visualizations that inform
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to execute projects related to Oncology with oversight in pre-clinical model development and human tissue studies. Key Responsibilities: Analysis of tumor histology Quantitative IHC analysis Data abstraction
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or supervising teachers in the field. Knowledge of and ability to design and implement research models to examine program effectiveness. Knowledge, Skills, and Abilities Clear evidence that race, ethnicity, class
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recombinant viruses, cell culture systems and mouse models. Responsibilities include work with cell and molecular biology, virus growth and quantitation, recombinant DNA work, multiparametric flow cytometry
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be expected under either a fully in-office or a hybrid schedule, and analysts choosing the hybrid model might generally end up filling their “in person” time via on-campus work as part of their liaison
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newly appointed Vice Chair of Research. This is an exciting opportunity to contribute to a dynamic and growing research program focused on translational discoveries that bridge fundamental biology and
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research, such as bioinformatics, computational modeling, or data-driven discovery. At least five (5) years of experience in artificial intelligence research, machine learning development, or a related
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and Performance of Research Experiments (75% of Time Spent) Mechanism based discovery of cancer therapeutics. Characterization of metabolic processes of leukemia stem cells. Use of animal model systems
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determining fetal growth and long-term health. The research group employs physiological, molecular and translational approaches, and utilizes a wide variety of model systems including primary human trophoblast
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Senior Research Associate - 37121 Research Faculty Description University of Colorado Anschutz Medical Campus Department: Biomedical Informatics Job Title: Senior Research Associate Position