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, Bergen, Stavanger, Sandvika, and Tromsø. Additionally, we offer a decentralised programme at Helgeland. Through our study programmes, we train knowledgeable, reflective, and courageous professional
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researchers, both locally and abroad. Your immediate leader is Trine Aakvik Strand For more information about NorHead, visit: https://www.ntnu.no/norhead/ About the project Chronic migraine affects millions
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Construction (RP1.1) Project under FME RenewHydro is dedicated to the development of improved design for future hydropower plants. The project aims to reduce construction costs, environmental impacts, technical
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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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processes active during plant drought stress response Improve existing and develop novel methods for research in plant mechano-biology Perform functional analyses of candidate genes using molecular and
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made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the
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that evolve over time. For example, the contamination level may become critical, or on the contrary less urgent after a certain period. Two factors can be the source of such evolution, a physical one, where
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utilization and development of materials. The Department of Physics is one of eight departments in the Faculty of Natural Sciences . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294062
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develops specialized knowledge, applying mixed methodology, combining qualitative and quantitative methods, from action research and case studies to statistical analysis and operations research. Focus is put
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the maritime value chains. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive