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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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Alexopoulou. The PhD student will work with Dr Alexopoulou as a member of the EF Research Lab for Applied Language Learning. You will join the research cluster for Language Acquisition and Language Processing
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Applications are invited for a three-year PhD Studentship based in the Section of Theoretical and Applied Linguistics at the University of Cambridge. This studentship, starting on 1 October 2024, is
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the second year and some conference attendance in the second and third years. Overview Forming an independent project in its own right, this PhD studentship in applied linguistics orFrench (applied
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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
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PhD Studentship: Data-driven Probabilistic Modelling of Clonal Dynamics in Human Tissues and Cancers
Proficiency in at least one programming language is a requirement. While having a base in the School of Mathematics in Birmingham, you will join a research team that also includes world-leading clinicians and