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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Posting Information Posting Details Department ASOD Biomedical Sciences - 437600 Posting Open Date 05/26/2026 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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at the Division of Biomedical Engineering Department of Materials Science and Engineering, Uppsala University Full-time temporary position for two years starting in September 2026, or as agreed upon
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research areas include Biomedical and Biological Computation Methods; Devices and Systems; Communications, Signal Processing, and Networking; Computer Engineering, VLSI, and Circuits; Fields, Photonics, and
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, EEG, NIRS, MRI, or other neurophysiological and neuroimaging technologies. Experience with signal processing, machine learning, statistical modeling, and multimodal data integration. Strong scientific
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-based drug safety signal prioritization platform. Supporting grant preparation and contributing to grant aims. Collaborating with mentors in pharmacoepidemiology methods and adjacent clinical research
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21 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Biomedical engineering Engineering » Control engineering Researcher Profile
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
-specific knowledge: A strong base of knowledge in signal transduction, genome maintenance, DNA replication, cell cycle, and how these processes impact carcinogenesis and cancer therapy. Research methods
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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related genome editing approaches to disrupt biological processes that support prostate cancer progression with a focus on metabolism, hormonal and stress response signaling. Preparing samples