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contribute to the Technological Advancement cluster by advancing synthetic data generation as a key work of AI LEARN’s research for privacy-preserving technologies. The work will involve developing, evaluating
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research for privacy-preserving technologies. The work will involve developing, evaluating, and validating methods for synthetic data generation that enable secure and trustworthy data sharing and exchange
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education to working life. The PhD supervisor will be Senior Researcher Ingunn Ness. Please contact her for more information about the project. About the work tasks: investigate how multi-agent ecosystems
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organisations. More information about CET’s research focus can be found on the website https://www.uib.no/en/cet and particularly in the CET Strategy 2023-2026. About the project/work tasks: The PhD fellow is
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2023-2026. About the project/work tasks: The PhD fellow is expected to develop a research project fulfilling the requirements of a PhD in collaboration with supervisors in the early phase
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research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive place to study and work. ... (Video unable to load from
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LevelPhD or equivalent Research FieldMathematicsEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD or equivalent Additional Information Work Location(s) Number of offers
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work. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD position There is a vacancy for a PhD Research Fellow in Patient control
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Aldosteronism -Out-of-Hospital Diagnosis & Monitoring Apply for this job See advertisement PhD position There is a vacancy for a PhD Research Fellow in Wearables and Biosensors in Out-of-Hospital Diagnosis and
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researchers, molecular biologists, geneticists and experts in bioinformatics. The candidate will benefit from an excellent work environment including access to state-of-the-art biobanking, wearable technologies