98 engineering-computation "https:" "https:" "https:" "Univ" research jobs at Duke University
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Quinn Ostrom (Assistant Professor of Neurosurgery and Population Health Sciences) and Anoop Patel (Associate Professor of Neurosurgery, Biomedical Engineering, and Pathology. The Ostrom lab is focused
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-throughput genomic screening approaches, primary cell culture systems, and animal models of influenza disease. For more information visit https://mgm.duke.edu/faculty-and-research/primary-faculty/nicholas
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activities ● Present results at collaboration meetings and scientific conferences Required Qualifications: ● Ph.D. in Physics, Astronomy, Astrophysics, Computer Science or a related field by the start date
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induced by radiation, focusing on mechanisms of regenerative reprogramming and stromal-epithelial interactions. Complementary approaches will be used, including genetically engineered mouse models
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. Duke School of Medicine’s interdisciplinary Duke Molecular Physiology Institute (DMPI), is seeking a highly motivated Postdoctoral Fellow with a PhD in computational biology, genomics, computer
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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multiple affiliations. Be You. Duke School of Medicine’s interdisciplinary Duke Molecular Physiology Institute (DMPI), is seeking a highly motivated Postdoctoral Fellow with a PhD in computational biology
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. The investigator collaborates with interdisciplinary clinical teams to integrate these computational tools directly into hospital workflows. Routine duties include algorithm optimization and the evaluation of model
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the context of critical illness. This position focuses on computational modeling of host-response mechanisms using high-dimensional multi-omics datasets. The fellow develops novel computational pipelines
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addition to pursuing their own research agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D