64 phd-in-architecture-and-built-environment-"DIFFER" Postdoctoral positions at Duke University
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prospective clinical natural history studies to better understand disease progression and clinical outcomes of patients. This postdoc will collaborate with different research team members and clinical
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regarding the use of lasers, chemicals, infectious agents, animals, and human subjects, as needed. Requirements: PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without
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. The appointment willbe for one-year, with the possibility of extension based on funding and performance.A PhD is r equired in cognitive neuroscience, psychology, statistics, orrelated tec hnical field.Programming
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team to unravel the mysteries of membrane ion and lipid transport and their roles in various diseases. Minimum Requirements: PhD in biochemistry, biophysics or cell biology Preferred Qualifications
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projects currently under grant support. Required Qualifications at this Level Education/Training PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard
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the roles of different signaling pathways (e.g. MAPK, AKT, etc) in regulating pro-proliferative vs. pro-hypertrophic cardiac phenotype in vitro and in vivo. You will further explore sex dependency
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automation tools for academic and translational applications. Required Qualifications at this Level Education/Training PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity
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Summary Conduct independent research activities under the >ctoral Appointee holds a PhD or equivalent doctorate (e.g.ScD, MD, DVM) .research career. Work Performed DEFINITION:The Postd oguidance of a
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. Minimum Requirements: The position requires a PhD in biological sciences, chemistry, or a related discipline and a strong record of publications in peer-reviewed journals. Preferred Qualifications: Ideal
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collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in computational neurostimulation modeling are required as are excellent