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Field
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understood. Recent advances in omics technologies—genomics, transcriptomics, proteomics, metabolomics, and epigenomics—offer a powerful, integrative approach to comprehensively dissect the molecular landscape
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Technologies for e-governance and civic engagement play a crucial role in supporting and transforming public services and community interactions, with the potential to foster greater citizen
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of this project is on a holistic investigation of energy efficiency in next-generation mobile networking systems. In the past decade, on the road to 5G, there has been a transformation in the mobile networking
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
system health monitoring, and more efficient maintenance planning. Digital twins offer a powerful foundation but must evolve beyond simulation to truly support engineering decisions. This PhD will develop
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of the covariance of physical laws under transformations between quantum reference frames. This is part of your personality: You have completed your Master's degree or Diploma in physics. You have experience in
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Net Zero 2050 goals, electric motors must undergo a transformational leap—from today’s typical power densities of 2–5 kW/kg to a step-change 10–25 kW/kg by 2035. The highest power dense motors today
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Intelligence (AI) is increasingly being integrated into project-based work across industries, with the potential to transform how projects are conceived, planned, and delivered. Despite growing interest
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capabilities needed for truly sustainable operations. Research Question: How can AI-enhanced digital twin technologies with advanced optimisation algorithms transform manufacturing processes to achieve
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accelerate the world’s transition to carbon-neutral energy systems? Join the Thermofluids Group in the Department of Mechanical Engineering at the University of Sheffield, and embark on a transformative PhD
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
graphs, and ontologies, the research will help engineers transform unstructured maintenance records into explainable insights. By capturing both technical and experience-based (tacit) knowledge, the system