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intermittent. The PhD will work will be twofold. The first part will be to improve and develop datasets and estimation algorithms for renewable energy that will enhance the simulation capabilities of the open
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project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal Combinatorics. By integrating these areas, the project seeks to develop innovative
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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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design, and empowering AI with the goal to develop a new De novo design method. More information about eHACS can be found here: https://www.uib.no/en/rg/brenk/152446/escaping-combinatorial-explosion-expert
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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
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focus on women's health. The long-term goal is to develop innovative diagnostic tools to predict adverse female health outcomes by integrating extensive epidemiological and molecular data from three
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faults and key intra- and supra-salt seismic surfaces from sub-areas of the Norwegian North Sea (PhD 1) and/or the Santos Basin, Brazil (PhD 2) to develop a tectono-stratigraphic framework for the salt and
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well as their individual research within the Center for Digital Narrative’s Computational Narrative Systems node, led by Professor Nick Montfort with Professor Rafael Pérez y Pérez. Work includes developing new
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Narrative’s Computational Narrative Systems node, led by Professor Nick Montfort with Professor Rafael Pérez y Pérez. Work includes developing new computational models of narrative and re-implementing
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at the Department of Biological Sciences (Environmental toxicology research group ). About the project/work tasks The goal of the project will be to develop and apply a computational approach, for example by