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18th January 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in modelling collective mitochondrial dynamics Apply for this job See advertisement UiB - Knowledge that shapes
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place to study and work. PhD position in modelling collective mitochondrial dynamics There is a vacancy for a PhD Research Fellow in modelling collective mitochondrial dynamics, combining computational
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systems and models to enhance learning through AI technology. The PhD fellow will contribute to the Technological Advancement cluster by advancing synthetic data generation as a key work of AI LEARN’s
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model checking to ensure statistical correctness of the results Machine learning–based classification and regression methods The candidate will also design and develop new software and prototype models
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to evolve advanced, human-centered AI technology to empower human learning, including designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will
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outcomes Synthetic data generation (virtual patients) Statistical model checking to ensure statistical correctness of the results Machine learning–based classification and regression methods The candidate
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. They are highly dynamic, moving through the cell with rapid and complex collective motion – check out www.mitochondriamove.com . Mitochondrial populations in cells form “social networks”, meeting and exchanging
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collective motion – check out www.mitochondriamove.com . Mitochondrial populations in cells form “social networks”, meeting and exchanging biomolecules in a cellular society. The reasons for this behaviour
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model by integrating the newly developed approaches into the numerical program developed in the ‘OceanCoupling ’ project. We would like the successful applicant to start in the first quarter of 2026
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components