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for synthetic data and attracting further funding to the field of privacy preserving AI with a group consisting of students, a data scientist, and a PhD student. The project is a part of the ambitious Novo
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-centres/department-of-business-humanities-and-law/research/research-initiatives ). The project team will consist of a PhD, four postdocs, a senior researcher and the PI. The envisioned starting date
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multiple forms of materiality, including but not limited to written texts such as laws and regulations. As datafication increasingly translates territory and populations into digital infrastructures, it is
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Postdoc in statistics to develop Bayesian privacy metrics for synthetic health data (2024-224-05725)
on Bayesian statistics and apply them in several real-world settings of important clinical relevance. The postdoc will be responsible for developing the area with a group consisting of a PhD student, a data