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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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immediate leader will be the head of the computing unit. About the project The position is sponsored by the NFR project Smart Precision for Quantum Resilience. This project aims at combining techniques and
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vibrant, interdisciplinary, and international research community tackling some of Europe’s most pressing health and social challenges? Join HEPARD, a European doctoral training network that combines
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that combines rigorous academic training with real-world policy engagement. More about the position About the Programme HEPARD is an interdisciplinary doctoral training network that equips early-career
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health science combined with experience from, or an interest in social science research Master-level courses must have an average grade of B or better. Applicants with a grade point of C may be evaluated
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modulates the bioprotective performance and functionality of different starter cultures used in food production. The work will combine advanced proteomics, molecular microbiology with food fermentation models
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phenomenon known as the Workman-Reynolds freezing potential (WRFP). Until now, no attempts have been made to harness energy from this freezing process. The ERC-funded Icevolt project aims to combine computing
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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 Are you looking for a PhD opportunity that combines rigorous AI research
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. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position Are you looking for a PhD opportunity that combines rigorous AI research
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for the PhD work will be response estimation based on remote distributed sensing of the wave field in an offshore wind park, in combination with metocean forecasting data. Improved sea-state and wave prediction
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. It requires combining what AI excels at, such as pattern recognition and processing data streams, with theories and methods for planning and logistics. The PhD research will focus on AI-enhanced