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societal contexts. Through advanced computational methods and collaboration, HELM addresses global challenges by blending eco-social health determinants, human-natural system interactions, and convergence
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, and metabolic disorders. Experimental approaches include genetically engineered mouse models, MI and sepsis (CLP/LPS) models, aging and metabolic disease models, and molecular, cellular, imaging, and
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flow cytometric analysis, -omics datasets, pharmacokinetic modeling, curve fitting, or computational analysis workflows. Familiarity with software platforms such as FlowJo, Prism, ImageJ/Fiji, or related
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