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this procedure. The candidate must be enrolled as a PhD student within 3 months of the start of employment. The ability to start the position timely on the project start date will be considered an advantage when
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elastic deformation of solids to inspire new technological developments. The project will provide a fundamental understanding of the physical processes at play when droplets interact with soft hairy
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flow and elastic deformation of solids to inspire new technological developments. The project will provide a fundamental understanding of the physical processes at play when droplets interact with soft
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years and is associated with the project, «Leveraging Distributed Acoustic Sensing for Enhanced Well Operation (LeDAS)». LeDAS is a Knowledge-building project for Industry (KSP) funded by the Research
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with the project, «Leveraging Distributed Acoustic Sensing for Enhanced Well Operation (LeDAS)». LeDAS is a Knowledge-building project for Industry (KSP) funded by the Research Council of Norway and
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work. This will be clarified in the recruitment process. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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years with research duties exclusively, or four years with both research and other career-promoting work. This will be clarified in the recruitment process. A career plan will be prepared that specifies
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capacity to absorb and retain carbon. This position offers an excellent opportunity for candidates interested in climate science, oceanography, biogeochemistry, and Earth system processes, and who wish
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relevant policy developments at the national level, for instance explored through process-tracing or large-text assessments. The Postdoctoral Fellow is expected to contribute to cross-disciplinary