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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
. Unlike natural gas, which has a constant composition, CO2 streams are project specific and contain over 20 impurities across gas, liquid, and supercritical phases, complicating the development
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bottlenecks facing flexible and large-area metal oxide electronics: the scarcity of hole-transporting (p-type) oxide semiconductors. Developing p-type materials with performance on par with their commercialized
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performance. However, calculating defect formation energies and migration barriers using first-principles methods remains a major bottleneck in the materials discovery process. To address this, we will develop
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candidate will contribute to feasibility studies on hybrid propulsion systems, the development of robust control architectures for autonomous docking, and predictive maintenance strategies using real-time
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are not limited to): The development of AI-related skills and competencies for project practitioners The factors influencing project managers’ and organizations’ willingness to adopt AI applications
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) with older adults, to explore their needs, experiences, and concerns about living safely at home. This will help develop a requirements specification for acceptable and effective fall prevention
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also part of a new centre, the EPSRC Centre for Doctoral Training in Engineering Hydrogen Net Zero. This will develop the necessary networking, training and skills to enable rapid growth in hydrogen
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to apply: Online applications are made at http://www.bris.ac.uk/pg-howtoapply . Please select ICASE Trustworthy AI For Industrial Applications on the Programme Choice page. You will be prompted to enter
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) techniques developed at UEA to study the interaction of small molecules with Umami receptors overexpressed directly on the surface of live cells (2). You will thus establish ‘rules’ determining which molecular
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relationship between brain structure, myelin distribution and genetic factors in MS. Research Focus: Recently, computational pipelines have been developed to integrate genetic and imaging databases