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and treatment of adrenal diseases. Digital medicine is entering a new era where human “digital twins” and sensor-based monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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is part of the Faculty of Medicine and Health Sciences at NTNU. It was established as a Centre of Excellence in 2002, 2012, and again in 2023. Our Centre of Excellence, the Center for Algorithms in
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. In Europe, these concerns have driven major regulatory developments, notably the EU AI Act and related digital sovereignty initiatives, which introduce risk- and rights-based approaches but often leave
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for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high-dimensional data. Develop modular
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to an obtained doctoral degree. We have a vacancy for a PhD Candidate in Databases and Search group for developing efficient search engines at the Department of Computer Science. The position is funded by
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connections. The project will have theoretical and algorithmic developments, software developments, and industrial case studies. Duties of the position Complete the doctoral education until obtaining a
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2nd October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate for Developing Efficient Search Engines Apply for this job See advertisement
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integrated within the Norwegian Center on AI for Decision (aiD), benefiting from broad and divers expertise, and strong industrial connections. The project will have theoretical and algorithmic developments
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position As agile development scales to larger, more complex organizations