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, or experiences and understandings amongst different groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis
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analysis and modeling, the research will support a framework for strategic renewable energy planning, optimizing wind, wave, and solar integration, especially during peak production seasons. Qualifications
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interactions. Findings will inform studies on co-located multi-source energy systems at large wind park sites. Using advanced analysis and modeling, the research will support a framework for strategic renewable
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groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis, critical algorithm studies, ethnography and
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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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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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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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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