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. Your Role: As our PhD student, you’ll be at the forefront of developing smarter solutions, working in partnership with UK Health Security Agency (UKHSA). You'll use anthropogenic approaches and cutting
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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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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
biggest environmental challenges? This fully funded PhD offers a unique opportunity to develop energy-efficient, cost-effective, and carbon-reducing manufacturing processes — placing you at the forefront
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, biochemical and molecular biological approaches. You will develop the necessary skills to derive experimental data that could identify important roles for these molecules in glioma progression and that may
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) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the
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project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in the development of globally inclusive
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for analysing complex materials, structures and model validation. The DIC community has developed guidelines to ensure robust measurements, continually advancing standards through ongoing challenges. In
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economics, the economics of crime, development economics, public economics, behavioural/experimental economics, microeconomic theory, macroeconomics, and finance. We also have strong links with other
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, engaging with key stakeholders (e.g., technologists, citizens and governments) to build an understanding of their needs. Based on these findings, you will design and develop e-governance systems
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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