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alternative to traditional centralized HVAC systems. The core challenge of this PhD is to define and simulate an appropriate control framework for such a decentralized ventilation system. Centralized control
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. System Modeling: Develop and refine photonic system models incorporating key quantum mechanisms. Use simulation tools (Lumerical, Synopsys, Matlab, Python, …) to validate architectural feasibility and
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1-D and 2-D modelling approaches fail to capture the complex three-dimensional effects critical to high-frequency, high-efficiency operation in modern converters. The PhD candidate will: 1
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copy of the relevant diplomas showing marks, indicating the grading system List of publications, if applicable Name and addresses of at least two referees Early application is highly encouraged, as the
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curing experiments of the composite, till the build-up of residual stresses. These experiments are complemented with finite element simulations to understand the different steps in the processing
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participate in the training and dissemination events of the MSCA Doctoral Network ANT . You will develop signal processing algorithms and protocols for AirComp, and implement and validate them in simulation
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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-making (e.g. during operation, but also during design) to prevent over-consumption of fatigue life while balancing optimal production. The monitoring of fatigue loads along the entire substructure is a
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finance and payments: electronic attestations of attributes certification processes and security measures in digital wallets using privacy-enhancing technologies to ensure end-user privacy while mitigating
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will aim to design solutions to reduce the handover and roaming procedure time, validate the resulting approaches using simulations firsthand, and then implement them on practical testbeds. You will be