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of Southampton. Before joining Southampton, he was a Postdoc at the University of Birmingham (2023-2024) and Newcastle University (2021-2023). More details can be found in his personal website: https://hanwu.ac.cn
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methods experience. Quantitative applicants are expected to have worked with large datasets or equivalent project experiences, and have programming skills such as R coding (preferable) and communication
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
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for the ‘Course Title’ using the programme code: 8856F Leave the ‘Research Area’ blank Select ‘PhD in Process Industries; Net Zero (PINZ’) as the programme of study You will then need to provide the following
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with coding, ideally in Python or MATLAB Funding support This studentship is open to Home students only. It is jointly supported by the Faculty of Engineering and industrial partners which is expected
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or Abaqus (or willingness to learn) General knowledge of structural analysis and material behaviour, especially failure mechanisms Some experience with coding, ideally in Python or MATLAB Funding support This
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the ability to use a microscope and work with scanned images are all desirable. Support: REP student will work closely with Julija Fediajevaite (PhD student) and members of the Soil Ecology Group. JF will
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our website at www.graduate.ox.ac.uk/apply . Deadline for submission of applications: 12.00 midday UK time on Friday 25th July 2025 Interview date: w/c 28th July 2025 Studentship Code: 25PSYCH03WEB
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essential. However, applicants should be eager to develop strong coding skills as part of the project. Ability to work both independently and collaboratively in academic and industrial settings. Please note