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endeavour is to leverage Large Language Models (LLMs) in a language-vision framework to mitigate the risk of AF utilising ECG image data digitised from paper records in conjunction with relevant clinical data
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of Psychology, University of Birmingham. The project will be supervised by Dr Barbara Pomiechowska, Dr Paul Muhle-Karbe, and Prof. Sarah Beck. The expected start date is September 2024. The project is only open
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Start Date September 2024 Award Duration 3.5 years Application Closing Date 30 June 2024 Sponsor School of Computing Supervisors Dr Gizem Buldum Eligibility Criteria You must have or expect to gain a
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an interdisciplinary supervisory team’s expertise in chemistry (Dr Bhatia), natural products (Dr Loveridge), and microbiology (Professor Wilkinson). Eligibility Candidates must hold a UK bachelor’s degree with a minimum
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Lead Supervisor name: Dr Kari Davies Project description Within policing there is a drive to understand who the ‘riskiest’ or ‘most harmful’ suspects are, to prioritise limited policing resources
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Supervisory Team: Dr. Muhammad Burhan Hafez (Lead Supervisor), Professor Adam Sobey PhD Supervisor: Muhammad Burhan Hafez Project description: The integration of Large Language Models (LLMs
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excitation. This will create new insights into how these materials can be utilised for novel applications. Supervisor Bio Dr Matthew Ellis’ research intersects machine learning and physics; looking to better
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sensor data. Supervisor Bio Dr. Matthew Ellis’ research intersects machine learning and physics; looking to better integrate advances in both to create new paradigms for computing. With a background in
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they affect performance metrics. It will explore the use of meta-learning to train models so that they can be adapted to new systems with few data points. Supervisor Bio Dr Matthew Ellis’ research intersects
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About the Project This PhD project aims to develop personalised conversational systems by leveraging user simulation, supported by recent advancements in large language models with their strong