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partnership, the IVHM Centre provides access to advanced CAD tools, integrated circuit prototyping, and technical training, equipping students with cutting-edge skills To support hands-on experimentation and
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This self-funded PhD opportunity focuses on assured multi-domain positioning, navigation, and timing (PNT), integrating data from space-based, terrestrial and platform-based sources of navigation
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energy levels and size-tuneable optical and electronic properties. QDs can self-assemble into larger, ordered structures analogous to atomic crystals. However, these are typically restricted to close
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. Funding is due to start from 1st October. FFA (Film Forming Amines) have been used for decades as corrosion inhibitors in water/steam circuits. More recently, they have also raised the interest of nuclear
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a team Flexible, self-motivated and able to plan his/her own work Good interpersonal skills High proficient in designing control system and electrical electronics circuit diagram Application form and
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This PhD project will develop next-generation grid-scale energy storage solutions integrated into HVDC (High Voltage Direct Current) systems at the University of Edinburgh, in partnership with UK
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computational and machine learning approaches to integrate Oxford Nanopore (ONT) long-read data with bulk and single-cell RNA-seq profiles. The aim is to identify host-microbiome molecular signatures that drive
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meetings. Project Background This project directly supports QCI3's vision of integrated and interconnected implementations by developing essential benchmarking tools that bridge across all three themes
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markers of severe distress, could enable earlier and more accurate prediction of Category 1 emergencies. The integration of such tools into call centre workflows promises to improve decision-making speed
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phenomenon where hydrogen atoms permeate storage materials, compromising their structural integrity. The research will create a multi-layered, self-healing coating that will limit hydrogen adsorption by