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and Market Dynamics Market and Strategy New Perspectives on Work-life and organizations Political Culture Social Analysis Sustainability Management Work Motivation and Optimal Functioning Affiliation
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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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will apply for the position. More information about gender equality initiatives at UiO can be found here. How to apply The application must include the following six elements as separate documents: Cover
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
knowledge of artificial intelligence and knowledge of natural language processing. Proficiency in statistical analysis, such as econometrics and machine learning for survey data analysis. Experience with data
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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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required to apply for the position: Experience in investigating the environmental or health impacts of plastics, in particular the analysis and toxicity of chemicals in plastics, Experience in neuroscience
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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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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