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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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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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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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data handling routines You will also have an opportunity to: Participate in X-ray scattering experiments at world-leading large-scale X-ray facilities such as Deutsches Elektronen-Synchrotron DESY in
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cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application
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, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based
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tutorials. The doctoral researcher will benefit from being part of large research group comprising several PhDs and Postdoctoral Researchers working on related topics of Urban Economics, Trade and Migration
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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