56 computational-physics "https:" "https:" "https:" "https:" "Ulster University" PhD positions at University of Nottingham
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in Chemistry, Physics or related subject. The selected PhD candidate will work with Prof Elena Besley on computational modelling of next-generation semiconductors made from atomically thin materials in
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in Chemistry, Physics or related subject. The selected PhD candidate will work with Prof Elena Besley on computational modelling of next-generation semiconductors made from atomically thin materials in
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engineering, physics, or a closely related discipline. Candidates with a strong 2:1 degree may also be considered, as well as applicants with equivalent overseas qualifications. Applications should be submitted
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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
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The School of Computer Science at the University of Nottingham is pleased to invite applications for a fully funded PhD studentship in deployable, efficient, and trustworthy computer vision. This is
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to an expert committee from the University of Nottingham as part of a competitive process to secure the funding. How to apply: Fill out this form: https://forms.office.com/e/SxNLR1qbBE?origin=lprLink , answer
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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
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the UK Atomic Energy Authority (UKAEA). The student will be based at the University of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering
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polymer–drug compatibility. Training and instrument access will be provided by AstraZeneca. Integration of physical and biological performance testing Eligibility and Application Process Applications
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development (such as 3D modelling, VR, animation or interactive design) with inclusive design and accessibility. This project bridges computer science and social care to deliver a digital health training tool