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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 19 hours ago
of Engineering (Col) Work Unit Mechanical Engineering and Engineering Science Work Location Duke Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Full-time Hours per week 40
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Engineering , seeks an ambitious and technically exceptional Postdoctoral Research Associate to lead experimental research at the intersection of hydrogen energy systems, advanced combustion, and next
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/2025 Position Qualification Position Summary The WANG Lab at the University of Nebraska Medical Center’s Department of Neurological Sciences is seeking a Postdoctoral Research Associate. The Postdoctoral
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related to instrumentation and techniques for ground and space-based telescopes and optical systems. Candidates with a range of experience in optical sciences and astronomy are encouraged to apply. As a
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: careers.lbl.gov Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with
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UHealth Medical campus in Miami, Fl. CORE JOB SUMMARY The Postdoctoral Associate is responsible for conducting independent research, analyzing data, preparing research summaries, and drafting manuscripts
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, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries. The Pratt School of Engineering at Duke University is one of the fastest
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on prevention science, family well-being, and intervention research. The Postdoctoral Research Associate will contribute to ongoing research projects examining individual, relational, and community-level factors
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biological science-related field is required. Required Qualifications: Minimum of 2 years of research experience in migraine and pain neuroscience, with a specific focus on CGRP-related mechanisms Experience working
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Postdoctoral Researcher in Crop Genetic Resources and Informatics to apply genome informatics and quantitative genetic approaches to trait analysis in specialty (pecan) and field (maize and cotton) crops