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. Occupational Summary Conduct independent research activities under the guidance of a faculty mentor in preparation for a academic or research career. Work Performed A Postdoctoral position at Duke University is
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, immunology, high dimensional omics analysis, or mass spectrometry. • Strong data analysis skills using R, Python, or equivalent. • Excellent verbal and written communication skills. • Ability to work both
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Description Applicants will be involved in NIH-sponsored research to address the impact of surgical trauma (orthopedic surgery) on the blood-brain barrier, glia activation, and neurodegeneration. Different
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to work independently in team-oriented projects, and are consistent, responsible and accurate for scientific research. As part of the Multi-Ethnic Study of Atherosclerosis (MESA), successful candidates will
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, metabolomics, and potentially other omics layers using high-performance computing environments. • Perform raw data processing, quality control, multi-modal data integration, and downstream analyses across
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. The Aleks Tata Lab in the Department of Surgery at Duke University School of Medicine has openings for postdoctoral researchers to study mechanisms in lung injury and repair. Our research aims to understand
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. Preliminary work pertaining to developing a Working Cell Bank along with potential further cGMP manufacturing runs will also form part of the responsibilities of this role. Requirements: · M.D., or Ph.D. with
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translational neuroscience is preferred. Expertise in neurobiology, electrophysiology, mechanotransduction, ultrasound, or in vivo mouse work is highly desirable but not required. Lab Background: We are a high
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maps and model building. You should have a Ph.D. and have more than 2 years of experience in cryo-EM data processing and 3D map generation. You will work under the guidance of Dr. Maria Schumacher on a
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communication skills, be strongly motivated, and work well in a team setting. A rough effort distribution for this position is indicated below: · Work on assigned projects (~80%) · Review scientific literature