15 phd-rehabilitation-engineering-computer-science PhD research jobs at Duke University
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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
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, Duke University) Dr. John Hickey (Biomedical Engineering, Duke University) Dr. Jessica Conway (Mathematics & Biology, Penn State University) Dr. Elliott SoRelle (Microbiology & Immunology, University
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/PhD Degree Experience Background in cardiac biology, neurobiology, bioengineering, or related field Molecular biology Background in electrophysiology preferred but not required Skills Skills in mouse
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, performing data collection and processing of cryo-EM data. Setup of future hardware and software as the research technology is upgraded. Providing lab members support in data collection, image processing, map
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toxic chemical exposures. Funded by the National Institute of Environmental Health Sciences (NIEHS), the Achanta laboratory seek to develop medical countermeasures and identify biomarkers of chemical
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laboratory notebooks. Monitor progress of research projects and coordinate with Principal Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards
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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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available to conduct research on chronic pain. Using animal pain models, behavioral tests, calcium imaging, patch-clamp, optogenetics, neuroanatomy, molecular biology, the successful candidate is expected
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to join our team. We invite individuals with expertise in microbiology, immunology, systems biology, or computational biology to contribute to innovative research on the female urogenital microbiome
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program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas