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tasks: Over time, IMR has built up a large database (Seafood data ) on the content of nutrients and contaminants in various seafood. The aim of this project is to develop quantitative and qualitative
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for Digital Narrative’s Computational Narrative Systems node, led by Nick Montfort, studies and researches the computational modeling of narrative, which includes developing new computational models
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Postdoctoral Research Fellow position within 2D/3D Geodynamic modelling of volcanic margin formation
a fixed term of 3 years and is associated with the NFR funded project Paleogene Basin Development on the Vøring and Møre Margins | PALMAR. About the project/work tasks: The project will focus
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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-enhanced-heuristic-navigation
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digital health. Our research integrates AI, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid
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immunology. The position is for a fixed term of 3.5 years and is associated with the research project “Developing mRNA vaccines to fight viral diseases in Atlantic salmon ” funded by the Research Council
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-oriented philological methods. Work tasks: The postdoctoral fellow will work both as part of a research team and independently. The successful candidate is expected to develop and execute their own research
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thanotyping (5-D)”, financed by the European Research Council (ERC). The 5-D project will develop methods and digital tools to identify that a person with dementia is at the end of life, aimed to understand
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position is linked to an interdisciplinary research project aimed at discovering new small organic molecules that can inhibit enzymes important in fatty acid synthesis pathway in bacteria. The development
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) to enhance public health outcomes, with a particular focus on women's health. The long-term goal is to develop innovative diagnostic tools to predict adverse female health outcomes by integrating extensive