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This self-funded PhD opportunity focuses on assured multi-domain positioning, navigation, and timing (PNT), integrating data from space-based, terrestrial and platform-based sources of navigation
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(behaviour, digital society, environment, health/social care, security/risk), ranging from UPF overconsumption to managing grassland in urban green spaces, conspiratorial thinking in adolescence to AI and free
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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personalities who need space for continuous striving for top international research and scientific excellence. At the same time, they enjoy support and liberties that are not a given at other institutions. Does
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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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sites. The electrification of heating in particular is one of the biggest challenges facing the UK. The move to heat pumps for space heating would require at least a doubling of grid capacity if boilers
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provided with research space for the duration of the CDA, a local mentor, access to PhD and MPhil students, and matched seed funding for equipment to strengthen the CDA proposal. Applications (CV and cover
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-funded doctoral training programme dedicated to academic research in space propulsion. R2T2 PhD programmes are already underway at nine UK universities, and the programme overall is centred on the Westcott
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explore ways to control their motion in 3D space. Synthetic microswimmers have many potential biomedical applications, including targeted drug delivery and non-invasive medical treatments. The swimmers
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: this provides capability for accurate and fast modelling of urban drainage, handling the full complexity of flow paths on impermeable surfaces, green space, buildings, pipe networks and BGI features