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the team ● Provide support for approved researchers, including validating data, spinning up virtual machines for research groups and enabling access to the relevant data as appropriate, providing support
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data gaps by combining process simulation (e.g., Aspen software) with machine learning techniques. By developing accurate, large-scale life cycle inventory data using enhanced digital tools like deep
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global castings industry. The AMRC Castings Group is a leader in advancing casting technologies and techniques. Our team provides advanced casting expertise, including computer process modelling, design
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: 30 June 2025 Details Join a project that will combine physics, machine learning, and ultrasonics to design new sensors for the digital revolution in industry. Ultra-thin membranes are produced in many
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analytics techniques (machine learning) for process control and optimisation. In this project, you will focus on achieving metamaterial behaviour through phase control within the additive manufacturing build
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EngD: Exploring effective and efficient use of CO2 for drilling of novel CFRP fibre stack materials (sponsored by Kennametal) EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital
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Early-stage failure prediction in fusion materials using machine learning
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: How can tools like passive bioacoustics revolutionize wildlife monitoring? We offer cutting-edge training in statistical modelling, machine learning, and ecological forecasting, and our lab works across
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machine learning, this project will develop and validate a multi-time scale digital twin concept for advanced condition monitoring and maintenance of direct-drive permanent magnet generators and converters
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themselves up, start moving, and adapt to the situation while sensing their environment is becoming a reality. The question of how an origami “machine” made of passive self-folding materials, which is bound by