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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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, and materials science. PhD project description: Responsive 3D-printed functional devices interact with their environment, responding to stimuli (temperature, light, etc.), and “4D-printed” devices
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PhD Opportunities in Molecular and Cellular Biology School of Biosciences PhD Opportunities Self Funded View DetailsApply Online
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This PhD project aims to develop and apply innovative photogrammetry-based analytical tools to enhance the spatial and structural characterisation of pharmaceutically relevant materials, with a
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) change tread pattern (or tread groove depth), ii) aerodynamics by changing the surface texture of sidewall, iii) noise cancelling (vibration), iv) mechanical properties (hardness). Resources: The PhD
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the upper (water-repellent) and lower (fully wettable) leaf surfaces are crucial for self-righting. This fully funded 4-year PhD project takes a multidisciplinary approach to unravel the morphological
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of Architecture and Built Environment and the School of Computer Science. They will also undertake industrial placement and mentorship at BTS, where they will interact with practitioners, gain insights
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Applications are invited for a PhD project within the University of Nottingham’s Faculty of Engineering, in the Centre for Additive Manufacturing research group (CfAM). The student will work in
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subject relevant to the proposed PhD project (such as mathematics or statistics) is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work
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building physics and artificial intelligence. The student will have access to research facilities within the Department of Architecture and Built Environment and the School of Computer Science. They will