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expertise in every aspect of the project from the outset. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It
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applicants who demonstrate substantial hands-on experience implementing, training and evaluating deep-learning models will be considered. General interest in AI or experience limited to running tutorials
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to show how data-driven tools can support circular production based on inherently low-quality input materials, and how such tools can be adapted to contexts with limited waste management infrastructure
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed
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to how latency, interference, reliability, incomplete observations, and limited wireless resources affect sensing, inference, and decision-making, and how communication and sensing resources can be
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are not restricted to classical hardware, but may have (potentially limited) access to quantum resources such as entanglement. The goal is to use this entanglement in combination with other properties