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. Building a world-class, transformational network and reliable administrative systems. ITS's mission is to be trusted enablers of technology for the U-M community. To learn more, visit: https://its.umich.edu
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science, applied mathematics, physics, computer science, or a related quantitative field. Required skills: Strong background in network science or complex systems Experience with temporal networks and
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, four (4) years of experience repairing, maintaining, and troubleshooting wired and wireless networks and multiple server environments, operating numerous software applications and computers in a complex
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Description The overall objective is to improve the integration of polar ice sheets into Earth system models by using neural network emulators at the interface between an Antarctic ice sheet model (Elmer/Ice
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Republic, invites applications for tenure‐track positions in Computer Science and related areas fitting and/or expanding some of its current research areas. The Complex Networks and Brain Dynamics group (https
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times for our customers. IS values innovation and excellence in ensuring secure and efficient IT services, regardless of the hour or complexity of the issue. The Network Services team within
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based on graph theory and complex networks for the analysis of structured data. The research will investigate computational approaches for representing and analysing relationships between entities through
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successful collaborative research funding applications, including complex, multi-partner bids. Demonstrable track record of contributing to the securing of significant external research income through
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 9 hours ago
Position Details Position Information Position Title Part-Time Academic (ARCH 5223: Net-Positive Architecture) - Summer 2026 Posting Number PTAP3258P Department/Unit Architecture Location Halifax
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resources and network infrastructure and thus support and improve the operation of the energy networks and the performance and the sustainability of the urban energy system. Learning-based techniques (e.g