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) at Northeastern University London (NUL) is looking for an exceptional candidate to fill an open Postdoctoral Research Associate position in Network Science, Graph Machine Learning, and Cognitive & Social Sciences
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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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, with particular emphasis on smart mobility and urban transportation networks. In particular, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for
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criteria: Prior research experience on extractive industries, environmental conflict, or animism in Southeast Asia. Established networks with academic or civil society institutions in the region. A strong
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Local Nature in Global Governance, which focuses on multilevel environmental governance networks in the Amazon rainforest and the Gulf of Guinea. The primary research duties will be to: Contribute
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(e.g., transportation networks, manufacturing systems, and truck routing). Assessing the relevance of the intake fraction (i.e., exposure efficiency) of major emission sources as a critical metric for
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systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
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networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor
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networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor
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these challenges. The initiative supports Luxembourg’s sustainable knowledge society by improving health, education, and the environment. As part of the NEUROH-CHANGE project, you will play a key role in supporting