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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
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often raise ethical, pedagogical, and fairness concerns, including issues of bias, explainability, and learner agency. The rise of Generative AI and large language models (LLMs) further intensifies
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, computer science, software/systems engineering, and data science. Experience with NLP/LLMs and/or requirements engineering is highly desirable; familiarity with model-based systems engineering, safety-critical
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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Masters project Supervisors Login Recently added 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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and contributing to the development of national-scale models to study and evaluate various potential pathways for renewable energy transition and transport electrification, as well as their demands
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testing approaches that can be used to verify that machine learning models are not biased. Required knowledge Software engineering, software testing, statistics, machine learning
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biology models Testing and evaluating new therapeutics in support of a drug discovery program Delivering high-quality, timely data to the MTDD–Servier joint project team Supporting project milestone
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diabetes management system using a mobile app to rate foods based on the glycaemic response of an individual. AI models will be trained on both the food intake and blood glucose data, and learn from