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Field
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satellite connectivity. This involves investigating and optimizing the wireless baseband chips, their firmware, the smartphone operating systems, the associated smartphone ICT ecosystem, and the related
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assess the operational feasibility and robustness of urban energy system designs emerging from AI- and multifractal-informed planning approaches. The PhD will develop and apply optimization-based energy
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and optimization methods for Earth observation satellite networks with sensing, computing, and communication capabilities. The goal is to characterize the trade-offs between sensing accuracy, computing
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simulation-assisted performance feedback regarding initial design concepts. We will explore how AI systems can augment professionals’ creativity toward concurrent optimization of human health and energy
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solutions that maximize operational efficiency, minimize network impacts, and ensure the long-term sustainability of the proposed approaches. The project investigates optimized EV charging strategies aligned
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. The lack of knowledge is related to the models that should be used to auralize UAM in urban environments: new models are needed to predict noise exposure in urban cities. Traditional aircraft noise studies
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promising technology for producing large and complex metal component. Although its potential has been widely demonstrated, significant challenges remain in optimizing the process to ensure the quality
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Physicochemistry of the Nanoplastic Exposome Mechanistic interpretation of the biological effects induced by NPPs requires prior quantitative knowledge of their physicochemical behavior in biologically relevant
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system. Examples of that could be: Develop a trajectory generation system that can provide near optimal trajectories including speed and accelerations constraints at the extreme points of the parcels under
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experiments in the BRIGHT biofoundry. The following qualifications are essential: Knowledge of Pontryagin’s maximum principle and the related theory of open-loop optimal control of dynamical systems. Knowledge