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the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The project PI and team are also in close collaboration
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interdisciplinary center with joint efforts in theory, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position We are looking for a Ph.D. candidate to work
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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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a grassroots scenario-planning process. • Exploring and analyzing housing and health issues under climate scenarios through interactive tools and resources. This PhD position is part of a Norway
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PhD courses – TKD Autumn 2024 and upload required documentation such as: Certified copy of admission to a PhD programme, programme summary of approximately one A4 sized sheet including information about
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, air quality, and respiratory health outcomes. • Designing a grassroots scenario-planning process. • Exploring and analyzing housing and health issues under climate scenarios through interactive