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- NTNU - Norwegian University of Science and Technology
- University of Oslo
- NTNU Norwegian University of Science and Technology
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- University of South-Eastern Norway
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throughout the doctoral education. Research topic Stroke patients have very different needs for follow-up after hospitalization. Currently, there are no reliable methods to predict these needs individually
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performance, and develop methods for estimating seabird quality using methods linking e-DNA of diet and breeding performance.The study relies heavily on already existing data, but will also include collection
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. The PhD Fellow will be affiliated with the Computer Networks Research Group (ComNet) at the department. The proposed PhD project aims to advance the field of 6G vehicular networks by harnessing the AI
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. The SwoP (Impact of switched voltage waveforms on power components and grids) project will develop methods to measure, characterize and predict the increased stresses and accelerated degradation on power
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and lead to premature breakdown. The SwoP (Impact of switched voltage waveforms on power components and grids) project will develop methods to measure, characterize and predict the increased stresses
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a research fellow (PhD position) in data analysis and development of statistical methods in epidemiology and genetic epidemiology for a period of 3 years with a possible extension to 4 years. Western
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page to watch video, or click here to open video) About the position The research focus of this position will be on anomaly detection. We mainly aim to develop methods that are applicable for static and
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in deep learning methodology for earth observation. You will work on deep learning methods for detection of oil spills in the ocean based on satellite imagery. A key focus will be to develop oil spill
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of validation plans, CI/CD methods, and testing environments. Designing and developing countermeasures for adversarial threats like data poisoning and evasion attacks Designing human-in-the-loop security
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to develop cutting-edge theories, methods and technology, for efficient, effective and responsible exploitation of data-driven AI in industrial solutions. Currently the center concentrates their activities