52 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" PhD positions at The University of Manchester
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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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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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, 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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the utilization of CO2 by different microbial taxa. Our hypothesis is that CO2-driven carbon cycling is conducted via a metabolic division of labour between multiple community members that can be traced through
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Department: Electrical and Electronic Engineering Title: Stability and Control Interaction of Multi-terminal HVDC Systems Application deadline: 14.04.26 Research theme: HVDC, renewable energy, power
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networks are ubiquitous in both natural and engineered materials. They are manufactured for many reasons: from the nonwoven fabrics used for insulation, clothing and filtration to the rubberlike polymer
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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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geometry drives atherogenic flow. It introduces the concept of haemodynamic fingerprints and geometric archetypes applicable across multiple arterial systems and will produce a reusable plaque–flow atlas
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introduces the concept of haemodynamic fingerprints and geometric archetypes applicable across multiple arterial systems and will produce a reusable plaque–flow atlas that can inform future CFD studies