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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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