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the material consumption and environmental impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective
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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal
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. Sustainable and energy-aware orchestration of softwarized network functions. Dynamic resource allocation and optimization across distributed cloud–edge infrastructures. Performance analysis in simulators and
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by animal models that optimize for single causes or treatments, without reflecting the diversity and complexity seen in patients. This Marie Skłodowska-Curie Actions (MSCA) doctoral network PhD project
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will contribute to building stronger theoretical foundations for structural optimization, to designing new algorithms for such integer programs, and to applying structured integer programs to various
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. The broader Networked Systems Group tackles all aspects of network optimization, management, and improvement, providing rich opportunities for collaboration. As a PhD, you will have access to: State-of-the-art
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on these knowledge questions for various clients. Your colleagues, network, existing and new insights, and data will be your allies in this work. In recent years, we have worked on projects that resulted in
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PhD student to establish recipes to provide post-plasma catalysis with different C2Hy distributions and different enthalpy content for optimization of post-plasma catalysis into C2H4. PhD candidate in
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models, which will then be expanded towards endogenous representation of behavioral models in the network design problem. This integration of supply-demand interaction will build on optimization models
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. communities of homes that have very low or net-zero greenhouse gas emission and are highly energy-efficient, have become a key component of the energy transition. The EmPowerEd project is a large national