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with the student to develop a project that is a good fit for the student’s experience and interests. You will be part of an active research environment spanning energy and climate modeling and you build
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wind propulsion devices. The work will focus on data-driven modelling, routing optimization, and control strategies for wind-assisted vessels. Relevant research topics include voyage optimization under
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regulates inflammation, cell death and infection outcome by using and further developing a human stem-cell-based model system recently established in the group. We are looking for a highly motivated PhD
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materials, including porous dimension, building ingredients, wettability, etc., and their interactions with water and gas species include CO2, Hydrogen and methane. Using atomistic modeling, the study will
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with numerical modeling, energy system optimization and possibly machine learning to guide energy transitions towards net-zero systems. The research supervisors have prepared multiple potential projects
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, and deployability of deep learning models on resource-constrained edge platforms. The PhD candidate will collaborate closely with international project partners and contribute to advancing next
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stem-cell-based model system recently established in the group. We are looking for a highly motivated PhD candidate with some experience in working with stem-cell based models, CRISPR-based gene editing
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on characterising and maturing Lower and Middle Triassic storage complexes in the Norwegian–Danish to North German basins, developing reservoir–seal models to identify new CCS acreage and helping to resolve potential
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of the interactions between glaciers and oceans, with a focus on the European Arctic. Please read this interview for more details on Pedro’s work: https://ic3.uit.no/news/msca-physical-biochemical-modeling Within
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will then integrate those data into climate models. Please read this interview for more details: https://ic3.uit.no/news/postdoc-opportunity-investigate-how-much-carbon-is-stored-beneath-ice-sheets