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Abstract: Condition monitoring of industrial equipment, such as turbomachinery, is a complex task that requires accurate and efficient data collection but is often hindered by the equipment's size
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October 2025 Application deadline: 30 June 2025 Please apply here https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx For further information please email Professor Chris Gerada , Dr
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Start date: 1 October 2025 Application deadline: 30 June 2025 Please apply here https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx For further information please email Professor Chris
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. This project will focus on learning about patient experiences and exploring clinical data to improve the care of patients living with kidney disease. What is involved The aim of this research is to improve
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) cluster , which the student will use for their research. The student will also have access to large HPC systems run by DIRAC . The student will be trained in using HPC by the supervision team and at
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. when do we stop modelling? How do we track / score the quality of the model What is the required level of quality over time How can quality be brought to the required level Can Machine Learning, Large
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(Southampton and Denmark), and participation in large-scale testing in Denmark to validate industrial applications of your research. This project is an excellent opportunity for candidates who are interested in
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research and large and thriving graduate research community. We provide an active and stimulating environment to carry out your doctoral research and have an extensive range of specialist labs and facilities
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-to-apply/apply-online.aspx For further information please email Professor Chris Gerada , Dr. Tianjie Zou (University of Nottingham) and Dan Walton (MTC). Facilities The MTC is an independent Research and
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the ‘Apply’ button above. For further information please email Professor Chris Gerada , Dr. Tianjie Zou (University of Nottingham) and Dan Walton (MTC). Facilities The MTC is an independent Research and