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design and end-of-life strategies often overlooks the unique recovery and regeneration challenges posed by these composite structures. End-of-life industrial filtration felts are heavily contaminated with
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will be removed once the position has been filled. A highly attractive PhD studentship is available for application by end of November 2025 or as soon as the position is filled up, offering full fees
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manufacturing (3D printing) techniques. The purpose of the studentship is to develop a next-generation in vitro model of aged human skin to evaluate the cytocompatibility of materials used in maxillofacial
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systems, and infrastructure development, contributing approximately £100 billion to the UK’s GDP. While emerging 3D printing (3DP) technologies offer promising opportunities for product individualization
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, the successful candidate will develop parametric microscale lattice structures capable of a wide range of mechanical properties (including auxetic and non-linear elastic response). Artificial Neural Networks (ANNs
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range of reactivity, and particularly C-C bond formation. Directed evolution approaches will then be applied to guide the selectivity of the new enzymes towards target molecules and drug fragments
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interference, while ensuring energy-efficient and scalable operation. This PhD project will focus on developing machine learning algorithms to enable robust channel estimation, intelligent user association
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. Your work will feed directly into the development of predictive models that link microstructure to performance, guiding the design of alloys that are stronger, more reliable, and more efficient. By doing
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mechanical fatigue—individually and sequentially, followed by electrical breakdown testing to assess their impact on the dielectric performance of the material subsystems. The target is to develop a
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models