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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
Associate position involves laboratory research in biomedical science. The position studies focus on an animal model of arthritis and include in vivo studies (muscles and behavioral analyses, imaging
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process, and subsequently implement this infrastructure on top of an existing cloud infrastructure. You will play a key role in the project's development, ensuring technical tasks and teams work together to
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the pdf-files into a single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password
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qualifications Candidates should have training or experience with biomedical optics and intravital imaging. Experience with optical system design, circuit design, and computer programming will be particularly
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brain xenotransplantation, mouse transgenesis, in vivo mouse brain imaging, and ex vivo human brain recordings. See more in selected references from the lab: Libé-Philippot et at al. Cell (2023) 186(26
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– Requisition #35833 Job Summary: Nature of Work Visual Processing Center within the Department of Physiology and Biophysics Is seeking a post-doctoral researcher to join a team focused on understanding
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for a postdoctoral scholar position in the Center for Advanced Human Brain Imaging Research within the Brain Health Institute. The scholar will study multisensory perception, neural plasticity, and depth
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brain xenotransplantation, mouse transgenesis, in vivo mouse brain imaging, and ex vivo human brain recordings. See more in selected references from the lab: Libé-Philippot et at al. Cell (2023) 186(26
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will use a combination of scRNAseq, spatial transcriptomics, and highly-multiplexed imaging to understand how human macrophages respond to the early stages of cancer development. They will be a part of