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Field
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observational campaign on Folgefonna, a coastal ice cap in Western Norway, to establish an Earth System Model snow intercomparison dataset. This dataset will be complemented by in situ and UAV datasets
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. The main workload will involve field investigations, subsurface data analysis (core and borehole), the integration of new data and concepts with existing seismic models. The project will involve
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borehole), the integration of new data and concepts with existing seismic models. The project will involve collaboration with industry partners and other scientific teams. The candidate will work alongside
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techniques such as signal processing and dynamic systems modeling, and will contribute to developing knowledge-driven decision-making models. The postdoctoral research fellow will actively participate during
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life stages, molecular biological methods, and RAS will be regarded advantage. Knowledge on RAS related water chemistry, especially challenges related to ammonia exposure, and experience with lab work
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in the context of a UiT grant that focuses on modeling spatio-temporal medical image analysis with a particular focus on learning from limited labelled data. The successful candidate will be a part of
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, self-management, cultural resources, and digital self-care and prevention tools for Indigenous elders. The project employs both quantitative and qualitative methods and utilizes models for user-centered
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(CMAT) at Hasselt University. Both groups focus strongly on numerical analysis and mathematical modelling. The prospective PhD student will work in close collaboration with Carina Bringedal and Erlend
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to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on borehole electromagnetic data during drilling. This includes the further development
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: The preferred candidate for this position must be able to analyse data from fisheries and/or aquaculture and prove experience from designing, collecting, modelling and publishing such data. Research experience in