11 structural-engineering-"https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" PhD positions at Duke University in United States
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data, and apply the computational methods to understand biomedical problems like tumor microenvironment, immunology, and aging. The individual will work with Dr. Yi Zhang (https://yi-zhang-compbio
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to early phase clinical trials. We collaborate with investigators intramurally (Duke Pharmacology & Cancer Biology, Cell Biology, Biomedical Engineering), and extramurally nationally and internationally
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. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) in medical physics, biomedical engineering, electrical engineering, or computer science. Candidates with non-US degrees may be required to provide proof
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engineering, physics or a related field or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.). Candidates with non-US degrees may be required to provide proof of degree equivalency. Preferred Qualifications
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multiple affiliations. POSTDOCTORAL ASSOCIATE OPPORTUNITY Acharya Lab – Division of Structural Biology The Acharya Lab in the Division of Structural Biology at the Duke Human Vaccine Institute (DHVI), is
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., D.V.M.) This position is Onsite. The work is performed on-site or at a designated assignment location. Be Bold. Help to operationalize NeoPBl/NeoSelect technology for the Klemen Lab. Assist in development
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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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Asokan lab (www.asokanlab.org) is affiliated with the Duke Department of Surgery, Molecular Genetics & Microbiology & Biomedical Engineering and is focused on the development and evaluation of novel gene
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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Requirements: Ph.D. in mathematics, applied mathematics, physics, computer science, engineering, or a related quantitative field. Strong knowledge of differential equations and applied mathematical modeling