65 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Duke University
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cultured human and rodent cardiomyocytes, engineered heart tissues, and animal models of heart development and disease. Specifically, you will engage in basic science and applied research to explore
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of extension based on performance and funding. QUALIFICATIONS: Applicants should hold a PhD in Environmental Toxicology or a related field. We seek applicants with a strong interest in environmental toxicology
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communities A postdoctoral position is available on May 5, 2025 in the Venturelli Lab. The Venturelli Lab aims to understand how interactions across genetic, molecular and ecological scales combine to generate
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system. For the meta-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine
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interaction and physical activity effects on heart rate and energy expenditure in wild baboons in Amboseli National Park, Kenya. Human Ecology, Energetics, and Climate: This postdoc will work as part of a team
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investigate the cell division cycle of Cryptococcus neoformans. This position requires a minimum of a PhD degree. Applicants should hold a PhD in Biology or a related field and have expertise in fungal genetics
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pathways and mechanisms underlying autoimmunity from a lncRNA and epigenetic gene regulation perspective. We utilize biochemical assays, tissue culture, mouse transplantation & disease modeling experiments
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basic research and animal models, preferably rodents. The ideal candidate will have a strong background and experience in the field of neuroscience and behavior in rodent models, such as social behavior
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keratinocyte differentiation and cancer biology utilizing cultured cells and animal models of skin diseases. Responsibilities include: Development of new and implementation and modification of existing
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-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine learning is desired