52 finite-element-analysis Postdoctoral positions at Duke University in Ireland-University-Ranking-2024
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, epigenomics, single-cell technologies, stem cell biology, muscle biology, aging, immunology, gene and cell therapy, computational analysis, or animal models are especially encouraged to apply. Strong motivation
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earth elements, cobalt, lithium and other metals. The research aims to: 1) Delineate the molecular level speciation and mineral phase associations of these critical metals in unconventional feedstocks; 2
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, epigenomics, single-cell technologies, stem cell biology, muscle biology, aging, immunology, gene and cell therapy, computational analysis, or animal models are especially encouraged to apply. Strong motivation
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Health Sciences. The position will be focused primarily on implementation science projects, data analysis (quantitative and qualitative), and project management tasks. The main research focus will be
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. The Quantitative Imaging and Analysis Laboratory in the Department of Radiology at Duke University is seeking a Postdoctoral Associate to join our team. In this role, you will work on the development
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growing portfolio of trauma, critical care, nutrition, ethics, and clinical informatics research. This position will coordinate complex, multi-component studies that include prospective patient enrollment
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Halpin, MGEL is a leader in applying geospatial analysis to problems in marine ecology, wildlife management, and ocean conservation. We are seeking a highly motivated individual who is interested in
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new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling . This position focuses on the development, calibration, and analysis of multiscale agent-based models (ABMs) and differential
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methodologies, to medical image analysis projects. Collaborate with multidisciplinary teams across Duke University and Duke Health on a range of innovative research initiatives. Contribute to scientific
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performance using industry-standard metrics, including AUC, sensitivity, specificity, precision-recall analysis, and ROC curves. Assess model generalizability across diverse research cohorts. Identify potential