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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 5 hours ago
in real time. Our multidisciplinary approach integrates high-resolution imaging with cutting-edge genomics (CUT&RUN, Micro-C, Hi-C), proteomics, and CRISPR/Cas9 engineering to address the most pressing
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at the intersection of marine ecology, ocean technology, machine learning, and high-throughput biological imaging. This position offers a rare opportunity to help pioneer the use of advanced shadowgraph imaging systems
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Engineering Internal Number: A-189203-3 General Description The IMERSE Lab in the Department of Mechanical Engineering at Johns Hopkins University invites applications for a Postdoctoral Fellow position in
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instruments and new configurations of existing technology to investigate hydrologic and sediment processes. This position works closely with USGS scientists, University faculty, and researchers in
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schizophrenia. In addition to making fundamental discoveries (e.g. how thalamocortical interactions implement attentional control and task switching), we aim to understand these processes well enough to develop
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. · Other related duties as assigned. EDUCATION & EXPERIENCE Minimum Qualifications: Ph.D. in Biomedical Informatics, Computer Science, Data Science, Electrical & Computer Engineering, Applied Mathematics
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Posting Details Position Details Title Postdoctoral Fellow in Bio-Photonics and optical imaging Appointment Status Non-Tenure Track Department IU Bloomington Intelligent Systems Engineering Location
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on the Black Hole Explorer (BHEX) mission which will conduct Space Very Long Baseline (VLBI) observations of black holes, with the goal of producing the highest resolution image to date of the black hole and its
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Goonewardena - whose work has appeared in leading journals including NEJM AI, JAMA, and Circulation - the program fuses artificial intelligence, advanced cardiac imaging, multiomics (proteomics, metabolomics
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technology to investigate hydrologic and sediment processes. This position works closely with USGS scientists, University faculty, and researchers in the Cooperative Institute for Research to Operations in