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to the analysis and publication of data that has not yet been fully utilized within the project. Applicants shall develop independent and relevant research ideas within the scope of the project and articulate
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new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. Start date: Fall 2026 Duration: The appointment is for 3 years It is
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out the catalysis and process conditions study component of the interdisciplinary research project “Renewable energy-driven recycling of CO2 and H2O to consumer products and e-fuels, (CH-CYCLE
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discharges through modeling and analysis of data from the groundbreaking ALOFT flight campaign. Our group's recent publications revealed FGFs as a new class of high-energy atmospheric radiation, yet their
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experience from or competence in radiation detectors (design, construction, operations or data analysis) is a requirement. A general knowledge of programming languages aimed at scientific data analysis and
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analysis) is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Documented general knowledge of the near-earth space environment
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or competence in radiation detectors (design, construction, operations or data analysis) is a requirement. Documented general knowledge of the near-earth space environment or atmospheric or lightning physics is a
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researcher to work at the interface of statistical data analysis, population-based research, and precision medicine in neurodegenerative disorders. The ResiliDem project aims to identify resilience and risk
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diagnostics extracted from the simulations. Further details about the project can be found here . The successful candidate will contribute to the main goals of the project, with emphasis on data analysis and
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the possibility of a 4th year with career-promoting work (e.g. teaching at the Department). The position is funded by the University of Bergen. About the project/work tasks: Geochemical analysis of sediments