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adaptive resource allocation, AI-driven network orchestration, dynamic beam steering, joint communication and sensing, and cross-layer optimization. Machine learning techniques will be investigated
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
couple new aircraft designs with new fleet allocation and schedule decisions. Such will enable airlines to minimize fleet-wide emissions once new aircraft types are introduced. The produced methods and
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
of this research will be on the development of new methods and models that efficiently couple new aircraft designs with new fleet allocation and schedule decisions. Such will enable airlines to minimize fleet-wide
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circular use of carbon resources? In this PhD project, you will investigate novel photochemical strategies for the synthesis and chemical recycling of polymers derived from renewable feedstocks. You will
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resource acquisition trait parameter space, and perform scenario analyses tailored to a set of Swiss lakes. There will be close collaboration with the other PhD candidate and Postdocs of the projects
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resource acquisition traits into the mechanistic ecosystem model PCLake and assess consequences for ecosystem structure and functioning. General project description This PhD position is part of the SNF-Lead
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: CV. Motivational letter. Course grade summary. Optionally, upload the best 3 documents (or links to resources) that show your experience in the aforementioned topics. You can address your application
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, IEEE IV and RadarConf. For your research, you will have access to extensive computing resources at TU Delft, ranging from personal workstations and shared GPU servers to the Delft AI Cluster and the
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27 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Engineering » Water resources engineering Researcher Profile
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more circular use of carbon resources? In this PhD project, you will explore innovative light-driven strategies for the chemical recycling of polymers. By harnessing the unique reactivity and precise