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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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individual atomic sites. Topological defects are central to modern condensed-matter physics, underpinning phenomena ranging from superconductivity to superfluidity, yet they are rarely accessible as individual
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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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resolution. This process offers strong potential for applications in clean energy, electronics, and other advanced technologies. The PhD will focus on extending this technology to high-melting-point metals and
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technological advances that will lead to more sustainable and safe air travel. Motivation The aviation industry is responsible for 12% of carbon dioxide emissions from transport. Decarbonising aviation is a vital
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. However, at the moment, the potential of this data remains unexplored in light of the latest AI capabilities, which could lead to scaling up re-construction efforts to physically conserve more built
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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