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Field
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. Objectives: Identify common security and privacy risks in EV charging networks. Develop AI tools that can detect unusual activity and explain why alerts occur in simple terms. Design privacy features that give
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Project details Objective: This project aims to develop a wireless, nanoengineered graphene-based biosensor for real-time dopamine (DA) detection. The wireless design of the sensor aims to enable
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approach that integrates machine learning algorithms, blockchain technology, and IoT devices with digital twin systems. The scientific objectives of the project are as follows: Objective 1: Investigate how
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maximum of ONE student per project. This process will ensure an excellent fit of student to project and also an excellent strategic fit of the project within the faculty. Project titles: Bayesian methods
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Department and aims to develop on-going work on the decision support system. Project aims and objectives This project aims to develop new, scientifically valid applications of skeletal data extracted from
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
of machine learning, uncertainty quantification, and Bayesian modelling. They will provide complementary expertise to bridge agentic AI with real-world impact. What We Are Looking from You Background in
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learning, evidence synthesis in public health and statistical genetics and genomics. We are recognised for our strength in Bayesian inference applied to biomedicine and public health. The MRC Biostatistics
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of objects (”curved”, ”pink”, ”having eyes”, “being animate”, ”having agency”, or ones that are hard to name) that are crucial for our everyday functioning. This research is only possible now thanks to 1
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close to the nest [1 ] but to better understand foraging, we need landscape level detail. The direction of the project can be tailored, but could include developing and applying Bayesian ML approaches
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scintillation combines excellent detection efficiency for gamma rays with high scintillation light yields and very large Stoke’s shifts of >300nm. Unlike traditional inorganic scintillators, perovskite