28 high-performance-quantum-computing-"https:" "https:" "https:" "https:" "https:" PhD positions at University of Birmingham
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We are seeking motivated candidates for a 3.5-year PhD project in Quantum Magnetism in the School of Physics and Astronomy at the University of Birmingham. Quantum magnetism is a research field at
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. Fusion power plants demand structural materials capable of operating at >650 °C with high radiation tolerance. Traditional computational materials design workflows excel in data‑rich systems (e.g. Ni & Fe
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15 Jan 2026 Job Information Organisation/Company University of Birmingham Department School of Psychology Research Field Psychological sciences » Cognitive science Computer science Researcher
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Website https://www.bham.ac.uk/ https://www.heatherflowe.com/ https://www.birmingham.ac.uk/staff/profiles/psychology/colloff-melissa https://www.birmingham.ac.uk/staff/profiles/computer-science/academic
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). Secondly, impurity seeding of plasma to improve performance will further degrade component erosion/redeposition issues. Thirdly, this is critically tied to very high temperature operations (>800 C and upto
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2D materials, searching for exotic quantum functionalities to form new sustainable electronics and new types of computing. Tuning nanostructures of these materials with extreme pressure will unlock
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the development of a high k Si3N4 that retains its mechanical performance is very desirable and the subject of current research around the world. The highest k value yet achieved in a laboratory is ~170 Wm-1K-1
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analytical electron microscopy in-house, together with a fractography analysis of the post-mortem specimens. Furthermore, steel irradiations will be performed using the high-energy proton beam generated by
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Programme grant can be found at https://oncoeng.org/ Funding notes: The PhD project is funded through a University of Birmingham, School of Engineering PhD scholarship which provides maintenance
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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and