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Field
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network. Tailored and Flexible Curriculum: HEPARD’s training is carefully structured to provide core competencies essential for rigorous, policy-relevant research while offering flexibility to tailor your
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into meaningful information. This data includes measurements, images, text, recipes, and more. The project addresses the real-world challenge of extracting value from semi-structured textual data, a
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be the driving force behind the design, construction, and experimental validation of a next-generation magnetocaloric heat pump prototype, a technology poised to revolutionize the market and contribute
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components for fusion reactors. These technologies enable highly precise, modular, and geometrically flexible fabrication methods suited to the structural and functional requirements of fusion devices
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over 420 million years ago was found. The chemical and structural drivers of PyC’s long-term stability are not yet fully understood. Unravelling those features is key to designing engineered carbon
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temporal structure and missing data affect multimodal learning Identifying fundamental trade-offs between accuracy, efficiency, and robustness. The project emphasises foundational machine learning research
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of flexible trailing edge with both hydrodynamics and acoustics. The simulation results will be analyzed and compared with analytical models, and then inform a refined low-order taking flow-structure-acoustics
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imaging their microstructure with sub-molecular precision, the project aims to establish structure–function relationships and uncover the mechanisms governing stability and charge transport. The insights
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AA6xxx AlMgSiCu aluminium alloys are presently the preferred choice for lightweight vehicle structures, including the body-in-white and for the light-weighting and the electrification of both on- and off
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structure, stage-structured demography and density dependence, road-crossing mortality, and climate–hydrology drivers to predict population trajectories and evaluate mitigation scenarios. This PhD will equip