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doctoral degree in digital culture, digital humanities, computational media, or a related field, including computer science if the dissertation project had a significant humanistic component. The doctoral
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analysis of versatile analysis tools for data from experimental research on porous media. The position will be linked to the Department of Mathematics and will work closely with the experimental activities
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the analysis and toxicity of chemicals in plastics, Experience in neuroscience, in particular in working with zebrafish, Experience in public science communication, Good oral and written language skills in
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the master's degree has been awarded. The candidate must have good knowledge in atmospheric dynamics. Proficiency in scientific coding and data analysis (e.g., Python, MATLAB, R, C++, FORTRAN) is required
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) high-resolution laboratory experiments of CO2 storage, and (iii) multi-scale image analysis of laboratory data. About the work tasks The appointed candidate will mainly contribute to the first main
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pedagogical competency in the course of their fellowship period within the duty component of 25 %. No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo. Project
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Fellowship period at the University of Oslo. The fellowship period is 3 years. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN), funded by the Research
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for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python, or similar programming languages. Experience in using and developing models to simulate natural systems. Knowledge
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creation of a set of ethical guidelines tailored to the needs of the research themes in Integreat and secondly, in a co-authored publication together with Anna Smajdor, based on ethical analysis
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, recommender technology, content production and analysis, content interaction and availability, and Norwegian language technology. The goal is to develop responsible technological solutions to societal