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medical imaging, where location can both reveal crucial patterns and pose privacy risks. You will develop and study privacy-preserving methods (e.g., differential privacy and synthetic data) that allow
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for this PhD project consist of combining empirical studies in healthcare environments, such as observations and interviews, with prototype design and development. The project will develop new knowledge on how
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with a total of 18 PhD stipends. The AI:HealthData Lab is part of the AI:X initiative with two PhD stipends and is a collaboration between the Data Engineering, Science, and Systems (DESS) research group
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