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that for inter-regional trips, the utilization of transport services is influenced by each region's network. However, the lack of coordination can result in sub-optimal outcomes for the overall system. In
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., communication, computation, energy). Communication-efficient knowledge exchange among networked federated large models. These research directions allow you to gradually build your own research profile according
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of Transformable Sites: Using UBEM to pinpoint optimal locations for densification based on spatial, architectural, and socio-economic assessment Implementation and Environmental Assessment: Applying densification
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. For more information, visit msrl.ethz.ch. Job description This position is part of the GREENS project, a Marie Skłodowska-Curie Doctoral Network offering the opportunity to pursue a PhD across various
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optimal locations for densification based on spatial, architectural, and socio-economic assessment Implementation and Environmental Assessment: Applying densification strategies to selected VTAs, analyzing
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other team members and labs at Empa as well as within the ETH Domain. Play a pivotal role in building a solid network with potential partners. Communicate the results via peer-reviewed journals, project
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integration into the CMS software framework. Responsibilities: Develop innovative EGamma reconstruction methods using CMS tracking and calorimeter data. Optimize performance with heterogeneous computing
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Postdoctoral researcher position on Resilient Energy Infrastructures for the Swiss Energy Transition
modelling and optimization tools developed by FEN researchers. In addition, you will collaborate with researchers from other groups with different scientific background (ICT, machine learning, reliability
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exploration. For more information, visit msrl.ethz.ch. Job description This position is part of the GREENS project, a Marie Skłodowska-Curie Doctoral Network offering the opportunity to pursue a PhD across
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) for distributed data management within CMSSW. Study and optimize the integration of remote GPUs and accelerators via high-speed network protocols (RDMA) to offload computational tasks efficiently. Investigate fault