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the biophysical processes as droplets wet membrane compartments in cells. Numerical simulations and theoretical models will be developed of the viscous interfacial fluid flow at cellular membranes alongside
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system models remain incapable of simulating this damaging impact of winter warming on ecosystems, and subsequent feedbacks to the atmosphere. Therefore, this PhD position will focus on the physiological
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: “Applied Modeling and Control” (AMOC), “Electrical Power Systems” (EPS), and “Entrepreneurship and Student Enterprise” (ESE). The place of employment is Porsgrunn. The employment period will be three years
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on the understanding of how the biophysical processes as droplets wet membrane compartments in cells. Numerical simulations and theoretical models will be developed of the viscous interfacial fluid flow at cellular
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the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing theories to better understand and predict the role of fluid mixing as a driver
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quantifying recent changes in glaciers in Western Norway from archival and contemporary aerial datasets as well as Uncrewed Aerial Vehicles (UAVs), or modelling the future state of the cryosphere using
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modeling of narrative, which includes developing new computational models of narrative and re-implementing historical models (also known as “storytelling systems”) so that they can be easily studied and used
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approaches that rely on simplified transmission models, FBMC ensures a more efficient, reliable, and grid-aware allocation of electricity flows. By using detailed network modeling, FBMC facilitates a more
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
integration, processing, and modeling. Familiarity with research methodologies related to innovation and sustainability. Competence in programming languages such as Python, R, or Stata. Contact information
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, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid hormone disorders, particularly adrenal