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Infrastructure? No Offer Description This project is part of the European ERC Synergy project Karst https://erc-karst.eu/ , which aims to develop a predictive flow model for an entire karst network. We will
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over 107 devices/km2 and for supporting new advanced user-services (e.g. holographic telepresence, advanced AR/VR, massive digital twinning, flying networks, etc.). Where to apply Website https://www
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. Connections working at Northeastern University More Jobs from This Employer https://main.hercjobs.org/jobs/21909435/assistant-director-network Return to Search Results
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
the ITS data centers and provides around-the-clock support for ITS business computing activities. I&O also supports and maintains the infrastructure for network, data communications transport services, and
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of a Bachelor's degree in a computer/network/technical or related field. Cisco Certified Network Professional (CCNP) or Juniper Enterprise Routing and Switching, Professional (JNCIP-ENT) or equivalent
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characterized by sustainable solutions in terms of cost, energy consumption, and impact on the network infrastructure. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio
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by the EU Research and Innovation programme Horizon Europe, under a grant by Marie Skłodowska-Curie Actions Doctoral Networks (MSCA-DN). The successful candidates must commence their PhD degree
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are funded by the EU Research and Innovation programme Horizon Europe, under a grant by Marie Skłodowska-Curie Actions Doctoral Networks (MSCA-DN). The successful candidates must commence their PhD degree
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solutions. Through interdisciplinary programmes, living labs and large-scale testbeds, ERI@N drives impactful translational R&D with strong industry deployment. More details: https://www.ntu.edu.sg/erian We
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disconnectivity in brain networks relates to symptom networks and recovery trajectories in psychiatric patients. Apply and further develop methods from network science, machine learning, and computational