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for multi-modal image data applied to industrial challenges in the energy sector? Contribute to a deeper understanding of the composition of the crust of the earth? Explore how to benefit from recent research
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University of Norway is a multi-campus comprehensive university at the international forefront. Our vision is to be a driving force for developing the High North. The Northern Sami notion eallju, which means
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of Marine Technology , as part of the Norwegian Maritime AI Center (MAI) at NTNU . As a PhD candidate, you will conduct research to develop AI-driven methods for efficient methods for simulation-based testing
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and their interactions with peptides. This primarily includes small angle X-ray and neutron scattering (SAXS/SANS) along with theoretical model analysis including the use of multi-scale and artificial
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applicability of the project’s findings, LimEATS will include a comparative component with urban areas in China through the ERC project ‘A Middle Way ? Probing Sufficiency through Meat and Milk in China’ (MidWay
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of Norway. The position is affiliated with the Center for Language, Brain & Learning (C-LaBL), more specifically the Brain domain. C-LaBL is financed by the Trond Mohn Foundation 2024-2029. The position is a
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Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and Zoonotic Risk on Chinas Belt and Road
)outlining your proposed research focus and potential field site(s). The proposal must include a progress plan. About the position The position focuses on industrial meat production, infrastructure, and
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to start in the position no later than 6 months after receiving the offer. You will conduct research as a part of the Norwegian Centre for Arctic Ecosystem Genomics (ArcEcoGen) and will be part of
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The position An exciting PhD position is available at the Department of Computer Science at UiT The Arctic University of Norway. The position is associated with the Visual Intelligence centre of excellence in
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molecular responses to whole-organism effects, we will combine targeted physiological measurements with multi-omics (proteomics, metabolomics, lipidomics) and phenotypic end-points. As our model system, we