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workflows for infectious disease surveillance and outbreak analysis. AI methods that support scientists and public health users while preserving data control, transparency, and responsible use. The successful
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through a system, and using them to make AI-based monitoring and control more resilient. Studying the security and integrity of deployed ML models, so that AI-based decisions stay trustworthy when something
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understand how and when infections with diseases affect farmed aquatic animals and to develop and validate protocols for assessing welfare in aquaculture, during different stages of production. The current
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AI-based monitoring and control more resilient. Studying the security and integrity of deployed ML models, so that AI-based decisions stay trustworthy when something goes wrong or is deliberately
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are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student