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study the underlying theory, using the framework of Evolutionary Game Theory and build models for concrete applications based on this theory [2]. The ultimate goal of this project is to develop new
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Uncertainty quantification using deep learning GEMS 2026: Toward Distribution-Robust Medical Imaging Models in the Wild PhD/RA opportunities on Multimodal We have several PhD and Research Assistant (RA
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-Robust Medical Imaging Models in the Wild PhD/RA opportunities on Multimodal We have several PhD and Research Assistant (RA) opportunities available in areas such as Multimodal Large Language Models (MLLM
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AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI
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and operational management of its on-premises hosting, Oracle Database infrastructure and Linux fleet. This role leads the Virtualisation, Linux and Oracle Database teams, ensuring service excellence
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The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them
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autism [4]. For example, to measure anxiety, researchers may place a rodent in a large tub, record a top-down video and measure the time spent near the safety of walls [2]. These videos also contain rich
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accounting software, advance level of using Microsoft Office suite of applications such as Power BI and Power query as well as Excel modelling, utilisation of web technology and experience in the use
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown
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on game theoretical modelling, usually employing populations of software agents to emulate the behaviour of human populations. Researchers construct models, usually based on known games, and empirical data