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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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, integrity, and a strong sense of responsibility to reliably complete agreed research tasks. Required qualifications are: A PhD degree (or a foreign degree deemed equivalent) in Chemistry, Physics, Materials
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Postdoc who can perform high quality statistical research. Apply August 31, 2026, at the latest. The Department of Statistics conducts research within the field of statistics and data science, including
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. Specific Qualifications for Project E To qualify for the fellowship, the candidate should hold a PhD in a relevant field such as statistics, data science, computational biology, physics, or a related
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• Analysis of quantitative and qualitative outcomes from pilot implementations Qualification and work tasks Candidates must hold a University PhD in Medical Sciences or of other relevant subjects. Candidates
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documented expertise in the following areas: A PhD in a relevant field, with experience in robotics, particularly programming of humanoid platforms An engineering degree in a field related to: Mechanical
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven