23 linked-data-"https:"-"https:"-"https:" Fellowship positions at University of Bergen
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/or climate dynamics is a requirement. Experience in statistical analysis of ocean/climate data (observations or model output) is a requirement. Experience in scientific programming (e.g., Matlab
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nature (publication list with links) The application and appendices with certified translations into English or a Scandinavian language must be uploaded at Jobbnorge. General information: For further
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of the underwater environment and marine installations. The system must be flexible, distributed, robust, energy-efficient, cost-effective, and secure, and be able to handle large volumes of data. Acoustic
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scheme, disability and survivor benefits, as well as access to favourable housing loans. How to apply: Applications must be submitted electronically through the link “APPLY FOR THIS JOB”. Please follow
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, you should address the "advantages" mentioned above, as these will be taken into account when ranking the candidates. the names and contact information for two referees. One of these should be the main
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of warmer water masses from the deep ocean towards the ice shelf cavities along the coast. Warm water inflow is linked to enhanced basal melting, potential ice shelf thinning and ultimately sea level rise
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a scientific nature (publication list with links) The application and appendices with certified translations into English or a Scandinavian language must be uploaded at Jobbnorge. General information
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solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we
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incorporating the symmetries and geometric structure underlying the data. This framework allows one to work effectively with data defined on domains that possess intrinsic shape or symmetry, such as articulated
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financing by the University of Bergen. About the project/work tasks The fellow will be part of the existing research community at Statistics and Data science group. The research project for the fellowship