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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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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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, 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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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
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the complexity further to effectively plan their movement and deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
consortium and work closely with three other PhD students, combining theory, computation, and experiments to model and manipulate the physical forces experienced by invading cancer cells. The overarching goal
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. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning engines, and reinforcement learning—can be adapted and extended for maritime design
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27th April 2026 Languages English English English The Department of Structural Engineering has a vacancy for Two PhD positions in “Micromechanics-based modelling of ductile failure in high-strength
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period of three years. The position is located at the University of Agder’s Kristiansand campus. The proposed starting date is the 1st of September 2026. About the Faculty: https://www.uia.no/en/about-uia