624 computational-physics "https:" "https:" "https:" "https:" "Trinity College, Dublin" PhD positions in United Kingdom
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of the elderly to space robotics. We are now looking for a Doctoral Researcher in quantum computing and algorithms. Are you as excited about quantum technology and its future applications as we are? We are now
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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physical properties can be developed. Applicants must have or be close to obtaining a PhD or MPhil in Computational Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or
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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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Primary supervisor - Dr Karen Milton Disabled people, who represent 16% of the global population, are twice as likely as non-disabled people to be physically inactive, placing them at increased risk
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PhD studentship in Computer Science: From Formal Requirements to Specification-based Automated Testing for Safety-Critical Medical Device Software Certification Award Summary 100% fees covered, and
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theme of this PhD programme is to examine the interaction between health and modifiable risk factors, particularly physical activity and diet. Many health conditions are linked to modifiable risk factors
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sense, and process information locally has never been greater. Traditional architectures that separate sensing and computation create bottlenecks in speed and energy efficiency. This PhD project aims
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to the delivery of the Chair’s programme. More information on the UNESCO Chair in Storytelling Education for Sustainability can be found here: https://www.lboro.ac.uk/schools/design-creative-arts/unesco-chair
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properties. Our group uses theoretical and computational chemistry, physics, and materials science in combination with chemical machine learning to explore and exploit diverse functional organic and hybrid