73 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at Duke University
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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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Postdoctoral Research Associate to join our group. We are broadly interested in understanding the forces that structure plant communities and how they will respond to global change, and we seek a motivated
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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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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental
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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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mobile health technology-based strategies. Minimum Requirements: The candidate must have a doctoral degree (PhD) in clinical psychology with prior research and clinical experience in psycho-oncology
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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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in vitro and in vivo studies, including experiments involving ionizing radiation. · Utilize genetically engineered mouse models (GEMMs) and other mouse models of brain tumors. · Conduct experiments
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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