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Field
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Overview: Project Overview Investment casting is an ancient yet vital manufacturing technique, especially in the aerospace sector where thin-walled, complex components are increasingly required
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Nuclear fusion offers the prospect of clean, abundant, and safe energy that could transform global energy systems. Achieving this goal depends on materials that can endure extreme environments
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to achieve complex and customisable micro-robots to provide personalised healthcare solutions. Advantages: This studentship will take place in world-leading research laboratories for additive manufacturing
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complex input. For instance, in physics-informed ML, in addition to data examples used by a standard ML setup, domain knowledge serves as an additional input. It can be in an explicit form of rigorous
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by the Ada Lovelace Centre and the University of Birmingham. This interdisciplinary project is ideal for candidates with a background in physics, materials science, chemistry, or computational science
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Location: Students will be based at the CREWW building on Streatham Campus in Exeter. Flooding is the most common natural disaster, impacting billions worldwide. Natural Flood Management (NFM), a
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necessary to 3D-print the next generation of medical micro-robots targeting drug delivery, exploiting combinations of functions to achieve complex and customisable micro-robots to provide personalised
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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this advanced manufacturing process will open new opportunities: devices with variable mechanical and chemical properties; fully 3D-printed electronics; and devices with mechanical or electrical responses encoded
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an increasingly complex development environment. Areas to consider that impact the modelling are: Framework Language Process How wide / how deep i.e. what do we model and why? How much provides a good answer i.e