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of the algorithms developed in this project. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance
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This PhD project aims to mitigate the data scarcity of new NLP and Multimodal applications by developing novel active learning algorithms. In this project, the student will leverage large foundation
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systems and its impact on human decision-making, trust, and regulatory design. The rapid evolution of AI, from generative models that produce text and recommendations to agentic AI systems that autonomously
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image diagnosis. The expected outcomes are development of a software prototype, technical advancement in medical image diagnosis and the creation of novel AI algorithms. Potential project benefits
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based on matched-filter statistics. Detecting the unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary
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achieve what neither a human being nor a machine can achieve on their own. The aim of this research is to develop cutting-edge Human-in-the-Loop Machine Learning algorithms that are able to avoid bias