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plants they visit and pollinate. Bayesian networks (BNs), and other probabilistic graphical models, can provide a visual representation of the underlying structure of a complex system by representing
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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environment, of engineering AI solutions to problems (especially neural networks or large language models) and/or applying data science techniques (such as Bayesian or similar statistical modelling). You should
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involved in Net Zero which is a world-leading centre in science and technology research at King’s. Net Zero aims to focus on research for decarbonising our economy and society, and addressing key
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is involved in Net Zero which is a world-leading centre in science and technology research at King’s. Net Zero aims to focus on research for decarbonising our economy and society, and addressing key
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is involved in Net Zero which is a world-leading centre in science and technology research at King’s. Net Zero aims to focus on research for decarbonising our economy and society, and addressing key
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networks both internally and externally to the university, to influence decisions, explore future research requirements, and share research ideas for the benefit of research projects Other To engage
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- based neural networks, Bayesian statistics, and text analytics are a must. Nice to Have: Experience developing and integrating APIs for healthcare systems to ensure seamless interaction with AI models
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include Bayesian data analysis, nonparametric statistics, functional data analysis, spatio-temporal statistics, and machine learning/artificial intelligence. Many of our projects involve dynamic processes
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open-ended position. Applicants are invited from any area of applied statistics, including statistical or actuarial data science. Those working in actuarial science, Bayesian statistics, statistical