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of this position is to develop a massively parallel version of a computer code called Commander, and apply this to archival data from Planck HFI, new data from Simons Observatory, and simulated data from LiteBIRD, a
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electron microscopy analysis, Raman spectroscopy, fluid inclusion analysis, potentially appropriate petrochronological methods, and 3D geological modelling. The project will be conducted in partnership with
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a system for a real-time hydrodynamic and water quality simulations for selected zones in the coastal areas of the Ålesund municipality using data from installed sensors and remote sensing satellite
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, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by developing theories, principles, tools and methods
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particular to the development and validation of novel computational language models, algorithms, and tools for spoken language-based cognitive tests for low-resource languages, and their integration with
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the overall objective of the PhD work. Some potential specific research objectives: Model the coordination and interactions between power producers and system operators (DSOs and TSO) in scenarios
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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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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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, PBAT, PBSAT, PBSA, Bio-PES) which are used for biodegradable fibres, twines, nets and ropes. The research work of the candidate shall contribute to develop new models and knowledge on degradation
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and visiting scientists, making up a group of over 70 researchers. OCBE’s research is internationally recognized, in particular in the areas of time-to-event models and causal inference; epidemiology