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resonant acoustic mixing (RAM) – a relatively novel processing methodology which is of increasing industrial interest spanning multiple sectors. The project will allow the candidate to explore a number of
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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to assess feasibility and optimise performance under uncertain subsurface conditions. Two principal configurations are employed: closed-loop systems, commonly referred to as deep borehole heat exchangers
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engineering, physics and applied mathematics. You should have experience in one or more of the following: numerical methods, high-performance computing (HPC), Computational Fluid Dynamics (CFD), applied
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crucial for ensuring grid stability and economic operation in future high, medium transmission and low voltage power distribution networks. This integration introduces significant challenges in voltage and
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‘foundations’ that develop in response to the loads applied to the tree. For example, trees subjected to high winds (inducing large moments) develop roots that prioritise lateral spread rather than depth
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fields for 3D reconstruction. This position provides an opportunity to collaborate with scientists from partner institutes around the world. You will also receive specialized training in high-performance
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and circular bioeconomy goals. Research Objectives The project aims to identify high-performing microbial species capable of efficiently converting mixed C5/C6 sugars into higher alcohols with excellent
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. Design and operation of local integrated heat and electricity networks considering the coordinated roll-out of heat pumps and low-carbon building clusters; modelling, control, and optimisation of building
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electricity and water to run washing machines. Improving the sustainability of these everyday processes is essential for meeting net-zero targets and reducing environmental impact. High-performance laundry