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Research Group at the Faculty of Engineering which conducts cutting edge research into experimental and computational heat and mass transfer, multiphase flows, thermal management, refrigeration, energy
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mechanics, acoustics, and computing science. It will potentially improve our current understanding of the silent flight of owls by uncovering the full mechanisms of noise reduction by flexible trailing edge
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
: Analyse how curation and drying impact mechanical properties and hygrothermal performance. Develop a Predictive Model: Create a computational model linking operational variables and material properties
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Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for...
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A PhD studentship awarded by the Freeman Air and Space Institute (FASI) to support the Institute’s research and capacity building work in the field of air power. Award details In an increasingly volatile international security environment characterised by the return of great power competition,...
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This project aims to enhance best practices in strain quantification for biomedical applications, facilitating the transition of image-based measurement methods from laboratory research to clinical practice. Digital Image Correlation (DIC) is a well-established, non-contact optical technique...
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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Open PhD position: Autonomous Bioactivity Searching Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 42-month funded PhD studentship will contribute to cutting-edge advancements in automated drug discovery through the integration of high data-density...
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Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code:8209F · Select ‘PhD Water Infrastructure & Resilience (WIRe)' as the