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Field
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this PhD project at TU Delft, you will develop distributed computational methods for game-theoretic control and optimization to address these challenges. As part of the European Research Council (ERC)-funded
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distribution in regenerative biomaterials. The candidate will receive interdisciplinary training in biomaterials research, advanced imaging, quantitative image analysis, data processing and machine-learning
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Entanglement distribution is a foundational capability for quantum networks, enabling diverse quantum technologies including—but not limited to—quantum key distribution (QKD). QKD provides
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data; AI-based prediction of cell and exosome distribution in regenerative biomaterials. The candidate will receive interdisciplinary training in biomaterials research, advanced imaging, quantitative
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-surface interactions, analysis of spatial energy distributions, and determination of impacts of pulse characteristics on accuracy and surface quality. Expected outcomes include reliable ablation datasets
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Authority and Power Shifts in AI Governance Host university: Lund University, Sweden. Investigates how regulatory flexibility changes the distribution of authority among legislators, supervisory bodies
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experience of research on justice and distributional aspects of infrastructure and energy transitions. You have experience of interdisciplinary collaboration and of engagement with policy actors and
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deviation from the healthy distribution. But in the absence of labels, how should we direct the model to learn relevant features, and how can we determine which features are relevant? These questions
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improved methods to evaluate how these compounds distribute throughout the body and to better understand potential toxicities in normal organs. This project aims to establish an integrated preclinical
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magnitude, spatial distribution and temporal dynamics of mechanical cues shape cellular responses. You will investigate an integrated cell–material system in which living cells are mechanically coupled to a