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. The position is a three-year role, located in the Department of Computer Science at Aalborg University's Technical Faculty for IT and Design. In addition to the Department of Computer Science, the project
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methods, with particular focus on mass spectrometry (MS). The position involves collaboration with researchers in various internally and externally funded research projects. While the main focus will be
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Postdoctoral Position in Participatory Design of Autonomous Drone Systems and Human-AI Collaboration The Human-Centered Computing Group at Aalborg University (AAU) is seeking a talented postdoctoral
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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to developing methods and tools that support a cost-effective, flexible and sustainable integration of cooling in future energy systems. Your work will be structured around two strongly interconnected research
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-experimental data from five countries. Methodologically, the project designs and implements survey experiments and other causal inference methods (e.g. difference-in-differences and synthetic control). Your
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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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on on interpretative policy analysis and ethnographic methods. Empirically we conduct city case-studies in Barcelona, Brussels, Copenhagen and Sheffield as well as city networks on migrant solidarity. Job description
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postdoctoral researchers willberecruited to workcloselyacross the two AAU departments of Sustainability and planning (PLAN) and Computer Sciences (CS). The project’smethodological PI is Associate Professor
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The project may address national or international problems, and should do so using appropriate methods, qualitative and/or quantitative. Access to Danish data sources, such as registry data, respondents