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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
Posting Information Posting Details Department Biomedical Res Imaging Ctr - 426001 Posting Open Date 09/29/2026 Application Deadline 10/12/2026 Open Until Filled No Position Type Postdoctoral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
conception through data collection or acquisition, analysis and dissemination, and project administration. https://www.cpc.unc.edu/about/ Position Summary The Postdoctoral Research Associate (Postdoc) will
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investigating how chromatin regulation, gene expression, and cell signaling influence disease progression and therapeutic response. The candidate will design and perform in vitro and, where appropriate, in vivo
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, guided by DNA sequencing data the candidate will cultivate rhizosphere and root-associated microbes, design novel or modified synthetic communities, and evaluate their impact on plant nutrient uptake and
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate (2 Openings) Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department CINJ - Cancer
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Associate (I-V), Psychiatry Posting Number req27123 Department Psychiatry Department Website Link https://psychiatry.arizona.edu/ Location Tucson Campus Address 1501 N. Campbell Ave., Tucson, AZ 85719 USA
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set of synthetic and spectroscopic tools that connect molecular structure and organization, their properties and function. This is what you are going to do Design and build flow setups using 3D printer
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(www.inesc-id.pt ) , “Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields
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Stanford Departments and Centers: PULSE Institute Postdoc Appointment Term: 1 year with renewals possible up to three years Appointment Start Date: ASAP Group or Departmental Website: http
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implementation science, and leveraging computational innovation, the lab examines these relationships across exposures, tissue types, life stages, and populations to identify opportunities for prevention and early