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disciplines • Training/experience in working with social or political theories and theory-driven projects, particularly discourse analysis • Training/experience in qualitative methods, particularly interviewing
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, monitoring/diagnostics, and aspects of battery management systems where relevant). Moreover, you will contribute to research on EMI/EMC analysis, modelling, measurement, and mitigation in power electronic
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with quantitative data analysis, data management, and an interest in issues related to policing will be an advantage. We value reliability, curiosity, and the ability to work independently while also
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to Tensions by undertaking a multi-sited ethnographic fieldwork focused on the planning and development of wind farms in Finnmark, northern Norway. Methodologically, the position will involve document analysis
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into the current database for Denmark Econometrics and time-series analysis of the Danish data The research is expected to contribute to the understanding of financial stability and physical risks within
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directions. In the first, you will work with market-driven optimal dispatch of coupled electricity–cooling systems. This includes: Modelling, analysis, and optimization of flexible cooling assets and
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for large-scale immunological and proteomic studies (e.g., Olink, MSD, etc). Lead data analysis and integration of omics datasets, contributing to scientific manuscripts and grant proposals. Provide
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, reviewing of literature, experimental work, modelling, data analysis, writing etc. The project can to some extent be tailored to the candidate’s interests and expertise. The PhD student will follow courses
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connecting empirical and conceptual insights across cases and levels of analysis, contributing to and strengthening the overall research agenda on sustainable human–robot collaboration in healthcare. You can
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year before the position expires, you will be offered an interview to clarify your future career. The PhD research will focus on the development of AI models for analysis of prehospital ECGs, with