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synthetic data generators that obtain both good utility and protection of privacy, through tailored model approximation, as well as new measures of privacy and fairness to be used for assessing properties
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28th February 2026 Languages English English English The Department of ICT and Natural Sciences has a vacancy for a PhD Candidate in Secure and Trustworthy Data Sharing for Maritime AI Model
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issues will get particular attention. First, identify the most appropriate environmental, economic and societal impact categories to include in the assessment. Second, develop the three models
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application of the new methods will be co-designed with the candidate to best match their research interests. As a PhD-candidate at the Department of Earth Science, University of Bergen, you will also be
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, population-level life course perspective on the benefits and risks of hormonal contraceptives. By integrating big data and advanced methods for modeling exposures, we will establish real-world patterns
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of department. Various research topics can be explored, depending on the applicant’s interests. Possible themes include: 1) the changing Meridional Overturning Circulation, from models and in situ data
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work on adapting or developing marine foundation models. Self-supervised learning and active learning are also possible research topics. You can also focus on challenges related to modelling physics
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in the μ-opioid receptor. The PhD candidate will: • generate high-resolution models of wild-type and R181C mutant μ-opioid receptor based on existing crystallographic data and perform molecular
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learning methods for generating complex structures for generation of virus capsids and therapeutic proteins for gene therapy. The project will involve both physics-based forward modeling of protein
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candidate to develop Machine Learning models and frameworks for time series analysis, aimed at understanding how the human brain encodes information. This cross-disciplinary project is a high-level