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Field
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analysis using relevant software (e.g. coding in NVivo) Desirably experience of, or an interest in, quantitative national level survey based research methods and approaches Desirably experience
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for candidates who integrate Large Language Models (LLM) at scale in their research within economics and finance, e.g. for text analysis or data generation. As a Postdoctoral Fellow you will be given
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a requirement. Applicants are required to possess robust empirical research knowledge within the realm of conflict research, and they must be well-trained in conducting either quantitative analyses
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& qualitative research methods. Previous experience in fiscal policy on green investment, sustainability reporting, ESG analysis, or corporate sustainability is a plus. Contact information: Associate Professor
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used, such as interviews, surveys, fieldwork and document analysis. We are seeking a candidate both with interests in and being highly motivated for doing research related to governance, organization
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or data analysis are an advantage. In the assessment, the emphasis is on the applicant's potential to complete a research education based on the master's thesis or equivalent, and any other scientific work
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reasoning and other forms of expertise are taken into account, and how dilemmas and conflicts in processes towards accomplishing good licensing procedures are negotiated and handled. The licensing system
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management and analysis is considered an advantage. Candidates with experience in integrating geographically referenced data into digital platforms, knowledge graphs, or digital twins are particularly
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. Preferred selection criteria Knowledge and experience with statistical analysis of genomic data. Documented background in evolutionary ecology, genomics and/or quantiative genetics, for example from courses
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trajectories of scientific fields, and which fields are targeted for repression and co-optation by authoritarian rulers and movements. It will use computational text analysis to measure content-dimensions