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and failure assessment for early-stage wing design. This includes developing AI-based structural surrogate frameworks, computing failure index sensitivities using analytical or automatic differentiation
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21 Sep 2026 Job Information Organisation/Company Imperial College London Department Department of Physics Research Field Physics » Optics Researcher Profile First Stage Researcher (R1) Positions PhD
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following the Applicant information guidance document, available on the our webpage here . The timetable for the competition is as follows: Deadline for applications on Royal Holloway Applicant Portal
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
interested in one of these, please get in touch with the project supervisor directly. To view potential projects, please visit the CDT’s webpage, here . Prepare application following the Applicant information
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across historical, social science, and data science methods. While this studentship is grounded in historical and archival practice, candidates who wish to engage with quantitative, digital, or comparative
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knowledge graph from scientific papers and cognitive test questionnaire data, and second, to integrate the graph with transformer-based large language models and causal learning. This offers an explainable
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-sample guarantees. Quantum statistical modeling: use of quantum relative entropy, Fisher information, and variational quantum circuits for practical implementations. Causal and information-theoretic
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modelling and computational neuroscience to human mobility behaviour; Modelling how people build and update internal representations of urban space; Integrating behavioural data with neurophysiological
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, recruitment and assessments of patients with LBD taking part in the study and along with a team of researchers will contribute to the collection of clinical trial data. The applicant will receive appropriate
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and generates local economic growth. The project uses data on investments made by development banks to build a novel panel dataset spanning 20 years of climate-relevant finance across European regions