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to treatment. We are seeking highly motivated individuals to develop and implement innovative computational approaches for analyzing high throughput genomic and epigenomic data, including but not
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s
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12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources
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Sign In Create Profile Postdoctoral Research Associate I, Psychology Tucson, AZ, United States | req26708 Apply Now Share Save Job Posted on: 8/4/2026 Back to Search Postdoctoral Research Associate I, Psychology Posting Number req26708 Department Psychology Department Website...
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of the following tasks: 1) Laser-based instrumentation design, fiber coupling, and optical characterization. 2) Experimental investigation and computational model simulation of laser-induced bubble dynamics and
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through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply before 15/08/2026 (DD/MM/YYYY) 23:59
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Behavioral Health Research Program at the Indiana University School of Medicine is currently seeking applications from highly motivated, team-oriented candidates for a research postdoctoral fellowship. The
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. This role will focus on the computational analysis of LC-MS lipidomics datasets, with particular emphasis on untargeted high-resolution mass spectrometry data generated using Agilent and Waters platforms
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research facilities, and high-performance computing resources. Education Requirement: - MBBS, MBBCh, MS, MD, PhD, or MD/PhD in Radiology, Medical Physics, Biomedical Engineering, Computer Science, or a
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of using existing and emerging grid assets to ensure grid reliability and affordability of energy supplies. The group focuses on advanced grid modeling using advanced computing resources (e.g., quantum