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failure before components are built? We invite applications for a fully funded PhD project to develop microstructure-aware simulation models for fatigue and damage prediction in turbine wheels. Working in
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at the University of Manchester's Hydrodynamics Lab, https://www.scieng.manchester.ac.uk/tomorrowlabs/manchester-hydrodynamic-lab/ . This research aims to provide a comprehensive characterisation of offshore
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transformer in operation. On the other hand, the Total Cost of Ownership (TCO) model is widely used to measure the whole lifetime cost of the transformer. In addition to the capital cost, cost of losses
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, multi-source learning is used to integrate diverse patient populations to build robust models, but having to protect sensitive information. Various modern ML paradigms are proposed to address the diverse
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learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
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Research theme: Nuclear thermal-hydraulics How many applications: 1 How to apply:uom.link/pgr-apply-2425 This project is co-funded by EDF R&D UK and the University of Manchester. Funding covers
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AFM facilities at The University of Manchester and X-ray scattering at Diamond Light Source. At the University of Manchester, we pride ourselves on our commitment to fairness, inclusion and respect in
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these challenges by combining advanced metrology, data science, and machine learning to develop predictive models and new standards for recycled plastics. Based at the University of Manchester, in collaboration with
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at the University of Manchester under the supervision of Dr. Peyman Babakhani, and also collaborate with Dr. Vivek Bedekar from S.S. Papadopulos & Associates, Inc., a consulting firm in the USA. Applicants
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at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship which will cover tuition fees for UK-based students and provide an annual stipend in line