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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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of mathematics, statistics, data science and physics to make real impact outside of academia and to interdicsiplinary research. NU Solve also operates a drop-in clinic for University staff to get help with
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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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) 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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-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
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, intelligent monitoring systems and predictive technologies have become essential competitive advantages. This project sits at the intersection of data science, engineering, and design innovation, addressing
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directly addresses one of the most pressing challenges in modern information security: the malicious use of synthetic media. The relevance is acute, as deepfakes and AI-powered phishing campaigns are being
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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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mutations. Working closely with the PI (Professor Peter Visscher), you will develop new research methodologies, conduct analyses on detailed and complex data, write articles for peer-reviewed journals and
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on Africa, including Zimbabwe where we have previously collected pilot data with collaborator Dr McDonald Matika. Although potential second countries in each continent have already been identified, the PhD