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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
of Pharmacoengineering and Molecular Pharmaceutics (DPMP) is engaged in research and education in drug delivery options to optimize the therapeutic efficacy of pharmacologically and immunologically active agents. It is a
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disease, Parkinson’s diseases and type II diabetes. Successful applicants will be highly motivated with an interest in working in the areas of Molecular Medicine and Chemical Biology, must hold a Ph.D
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advanced molecular genetics, functional genomics, and vaccinology approaches. Research in the Kappe laboratory focuses on understanding the molecular mechanisms governing Plasmodium liver-stage development
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to [email protected] Responsibilities Qualifications: Independently plan, design, and conduct experiments using cellular and rodent models to investigate molecular mechanisms of metabolic and mitochondrial
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of molecular pathways that govern endocrine cancer initiation and progression and the characterization of the function of these altered genes/pathways using in vitro and in vivo models, and 2) the discovery
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physiological and molecular responses and will feed into the project's design-test-model cycle. The position will also strengthen the unit's capacity in plant cultivation under controlled and sterile conditions
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. Current projects integrate molecular biology, RNA engineering, mRNA technologies, and lipid nanoparticle (LNP)-based delivery systems with translational studies using cellular and animal models
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at scale. By integrating AI-drive image analysis with molecular and clinical data, the work seeks to identify novel disease-associated features and translate these into clinically deployable models
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with molecular and clinical data, the work seeks to identify novel disease-associated features and translate these into clinically deployable models for improved diagnosis and prognosis. You will be of a
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/PhD degree with a focus on Metabolism, Mouse Models systems, Human stem cell systems, Biochemical and Molecular Tools, Epigenetics, Genetics, Genomics, Biology, Bioinformatics, Machine Learning, or a