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the postdoctoral fellow should acquire. UiO is responsible for following up on the career plan and ensuring that the postdoctoral fellow has access to career guidance throughout the postdoctoral term. A PhD position
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PhD levels, spread out on five campuses Førde, Sogndal, Bergen, Stord og Haugesund. Our ambition is to build stronger and more solid academic and research environments that will interact nationally and
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researchers, 4 PhD students, 2 technicians and 8 Adjunct Professors (20% position). The research within the department is focused into two groups: sea-ice-snow-air processes and space physics. About the
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/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines for plausible narratives of regional climate change, novel algorithms for rare
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challenge. This project aims to explore data-driven Artificial Intelligence/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines
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; vi) perform the analysis of the ensemble projections and discuss, publish and disseminate the results. Education requirements: The successful candidate must have a PhD in climate science, Earth system
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data, MRI data, and other types of data. Contribute to projects at LCBC with data analysis, development, and implementation of advanced machine learning models. Write and publish scientific articles
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their roles in the development of these diseases. To achieve this goal, the researcher hired for this PhD position will work with the Centre’s datasets, analytical methodology, and computational tools
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Velocimetry. Required selection criteria You must have completed a Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD in physics or equivalent
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functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case