18 modeling-and-simulation-"UNIVERSITY-OF-SOUTHAMPTON" Fellowship positions at City of Hope
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Institute at City of Hope. You will work on projects investigating the new pathways and targets in diabetes/obesity and cancer. The lab uses genetically engineered mouse models and molecular pharmacology
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-omics data to identify therapeutic targets and biomarkers. Study cardiomyopathy across models of diabetes, cancer, and pressure overload. Collaborate in an interdisciplinary team and contribute to high
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, glioblastomas, colon cancer, and lung cancer. Advancing precision oncology through machine-learning models: We integrate multimodal patient data, including multiomic data and health record information, to develop
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therapeutics. Our research involves experiments with RNA Biology, RNA modifications/editing, mRNA-based therapeutics, primary human cancer cells, cancer and stem cell transplantation models, mouse genetics
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: Implement and validate IntelliCage protocols to assess cognition, memory, and social behavior post-injury and post-treatment. Evaluate therapeutic efficacy of NSC- and EV-based interventions in rodent models
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. The project involves both in vitro and in vivo studies to uncover the molecular and cellular mechanisms driving cancer-associated immunosuppression using mouse and human solid tumor models. Additionally
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should include: A Ph.D. degree in life or biomedical sciences, or related discipline is required. Experience in pre-clinical, animal models. Experience in microbiome-focused techniques including but not
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the project for RNA metabolism dysregulation and oncogenesis in blood malignancies. Candidates with strong background in RNA metabolism, cancer biology, and murine model are encouraged to apply
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, comprehensive mouse models for: 1) real-time labeling and lineage tracing 2) inducible and cell type-specific knockout & over-expression 3) inducible deletion of a specific population. We constantly integrate
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beta-cells, aiming to identify therapeutic targets for beta-cell regeneration in diabetes. Work with mouse and human cells, mouse models, and stem cells in the context of diabetes, utilizing techniques