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development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. The appointment is carried out in accordance with the principles of the State Employees Act
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Assessment of Cardiac Function and Outcome Prediction using Artificial Intelligence and Echocardiography". The project aims to develop novel AI models based on self-supervised learning and multimodal machine
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. This PhD project aims to develop advanced control and planning algorithms that enhance robustness and safety, ensuring reliable performance even in the presence of magnetic fields and other uncertain
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to develop new methods and tools to effectively monitor and address converter-driven stability and power quality issues arising from the higher reliance on power electronic converters due to the growing share
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variable and can be hard to predict. Therefore, wind power is exposed to both variations in electricity prices and balancing prices. In the later years, there has been an ongoing development in the European
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systems (GIS). The PhD project should develop methods based on spatial indicators used to assess current and future climate risks. The IPCC's risk framework is suitable to be operationalized with spatial
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treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology
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magnets, unconventional magnetic systems, and topological materials. The candidate will develop and apply advanced computational techniques, including (TD)DFT and post-DFT analyses, alongside spin dynamics
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for study and as such provide readiness to understand and develop solutions to progressive technological challenges such as digitalisation of health and welfare services, the green shift, advanced building