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comprises a training component corresponding to 30 ECTS, which correspondsto one semester. Qualifications and personal qualities: The applicant must hold a Norwegian master’s degree or an equivalent foreign
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will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ educational programme . The PhD programme comprises a training component corresponding to 30
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equality initiatives at UiO can be found here. How to apply The application must include the following six elements as separate documents: Cover letter Five-page research plan (following the template
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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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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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activities: (i) the development of novel simulation techniques, (ii) high-resolution laboratory experiments of CO2 storage, and (iii) multi-scale image analysis of laboratory data. About the work tasks The
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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