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Field
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environments such as low light, heat haze, and adverse weather is significantly difficult. These conditions not only degrade video quality but also complicate interpretation by humans and machines, making post
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complex input. For instance, in physics-informed ML, in addition to data examples used by a standard ML setup, domain knowledge serves as an additional input. It can be in an explicit form of rigorous
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, the race is on to understand how these DNA changes affect disease progression and post-operative recurrence risk. This PhD project uses CRISPR/Cas9 to examine risk variants in patient-derived cells and
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railway earthworks. Additionally, the project will integrate environmental data through data fusion and develop automated machine learning tools for anomaly detection and risk assessment. The effectiveness
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to translate social, behavioural, and legal insights on hate crime/speech and misinformation into practical requirements for digital tools and training frameworks. Collate, process and present research data in
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Data Skills Advanced Quantitative methods Interdisciplinary Collaboration with researchers outside of the social sciences Please do speak to your selected institution should your project include any
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will, and many more. For more information about our research topics please visit our website: https://www.cam-dtp.ac.uk/students/current-opportunities/ If you are interested in one of these topics
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) in quantitative biology, statistics, or a related discipline, and have experience using statistical modelling and data analysis to address predictive or inferential questions in ecological
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future generations of research and development professionals; data specialists; technology experts; inventors; and scientists for industry and society. The Atomic Scale Physics group at the Department
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-adaptation.pdf PhD student Roles & Responsibilities. PhD students will design a research project aimed to test the hypotheses outlined above. PhD students will be expected to undertake independent data collection