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2.1 honours degree or a master’s (or international equivalent) in a relevant science discipline (Chemistry, Materials Science). To apply, please contact the main supervisor; Dr Louise Natrajan
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within the Institute of Health Informatics. The studentships will commence from Feb 2026. About the project Successful applicants will work with the programme coordinator to identify a project and a
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of materials science, mechanics, and ultrafast diagnostics. You will be based at Begbroke Science Park as part of the Impact and Shock Mechanics group, composed of more than 30 researchers and students
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range of future careers. Should there be interest, there is also the possibility of developing teaching and supervision skills on our MSc Astronautics and Space Engineering programme. At a glance
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Excellent English written and spoken communication skills The following skills are desirable but not essential: Previous study in Geotechnical Engineering or Structural Engineering Ability to program in
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. Specific requirements of the candidate The successful applicant is expected to have: An honours degree at first or upper second-class level in Cyber Security, Artificial Intelligence, Computer Science
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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commitment to sustainability in materials research, and the ability to contribute to a vibrant, collaborative research environment. Potential PhD programme of study: PhD in Engineering Department: Engineering
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and optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly