56 modelling-and-simulation-of-combustion-postdoc Postdoctoral positions at Duke University
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related field). Strong research background in transcriptional regulation, cell biology, molecular biology, mouse models of cancer, and/or biochemistry. Prior experience in stem cells, Cas9/Crispr gene
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ongoing and planned experiments. This position is on-site. Projects include: · Establishment of a human stem-cell derived endometrial organoid model for use in co-culture to study pre-eclampsia and related
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MD or PhD or equivalent degree and has interests in immunotherapy and/or hematopoietic stem cell transplantation using mouse animal models. The research involves understanding the mechanisms underlying
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chromatin architecture regulates fundamental DNA-templated processes including DNA replication, transcription, and DNA repair. Our research uses the budding yeast Saccharomyces cerevisiae as a model system to
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and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated ability to conduct independent research and publish high-quality
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of physical activity on energy expenditure, energy balance, and health outcomes. These two positions are: Non-Human Primate Activity & Physiology: This postdoc will work as part of a team investigating social
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modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research productivity in relevant areas (e.g., peer-reviewed publications, working papers
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guiding postdocs to high-impact publications, prestigious fellowships, and independent academic careers. A supportive environment that fosters the development of independent research skills. Ample
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well as manuscript and abstract preparation. Work Performed DEFINITION: The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The appointment involves full-time
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for a Postdoctoral Scholar. The Scholar will conduct research on Bayesian spatiotemporal modeling methodology under the direction of Professor David Dunson at Duke on developing novel models motivated by