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Field
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multiple brain regions interact with each other, or networks. Furthermore, we are focused on identifying factors affecting the plasticity of these representational networks, and the degree to which they can
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requirements include: Strong background in wireless communication systems and networks Expertise in physical layer and MAC layer design for wireless systems Proven track record of publications in relevant IEEE
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communication skills. Preferred Qualifications - Publications in top-tier venues in networking and mobile computing, such as MobiCom, MobiSys, INFOCOM, IEEE Transactions on Networking, IEEE Transactions on Mobile
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postdoctoral community. PRISM opens the door for you to: Identify potential mentors and clarify your goals for postdoctoral training Visit campus and explore the research and living environment Get access to top
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Position Description: Every great life-changing discovery begins the same way—with new knowledge. It can change everything, from a single life to the future of entire communities. That’s why
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, Artificial Intelligence, Neural Networks, Computational Biology, Bioinformatics, Biomedical Informatics or a related field. Programming experience in a language such as Python or R. Experience in writing grant
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for the region, the nation, and the world. The Supply Chain Activation Network (SCAN) subcomponent works to expand the participation of new and existing businesses in the region as suppliers to the semiconductor
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. This position offers an exciting opportunity to work at the intersection of HPC and AI, addressing critical communication bottlenecks and optimizing network interconnects for large-scale distributed systems
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The Özel Lab at the Stowers Institute for Medical Research has openings for postdoctoral researchers to pursue independent projects investigating the gene regulatory networks that control neuronal
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with Dr. Emily Becker and the NOAA Climate Prediction Center. Key responsibilities Train neural networks and quantify uncertainty to evaluate predictability Perform explainable AI (XAI) related research