40 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" "Dip" "Dip" positions at The University of Manchester
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, material properties and formulation behaviour, the project will explore how implant structure can be designed to regulate drug transport and provide sustained therapeutic release. The overall aim is to
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-driven AI models that capture the underlying process–structure–property relationships governing metal additive manufacturing. By combining mechanistic modelling, in-situ sensing, and machine learning
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-based materials used in applications ranging from plumbing to transport. They are also nature's preferred way of providing structural scaffolding within cells (the cytoskeleton), and within tissues
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organic linkers. They have a formidable ability to adsorb, retain and neutralise air pollutants (NO2 , NH3 or SO2). To exploit these properties, one need to design MOFs that remain structurally intact after
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. Understanding and predicting this fragmentation process is critical to protecting structures and people from the damage it can cause. This has applications including defence and space. This project will involve
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may be removed before the deadline. Advanced aluminium alloys have a key role in the aerospace and automotive industries for structural components. However, the increasing global demand for aluminium
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and characterisation techniques with state-of-the-art facilities (NMR, X-ray, possibly EPR, HRMS, IR, UV/Vis etc.), structural elucidation, and mechanistic studies. We are looking for an enthusiastic
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to structural design models to quantify the potential impact on key drivers of offshore wind farm economics. Specifically the impact of advanced wake models on wind farm energy yield forecasts, hence revenue, and
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: How sensitive are the emission factors of the different stoves to user behaviour, and what are the underlying mechanisms? What are the emissions profiles of solid waste (e.g. construction timber, garden
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic