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groups work in close daily collaboration and share research infrastructure, methodological expertise, and a commitment to high-quality population-based epidemiology using Danish and Nordic register data
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colleagues in the group and external partners in Denmark and abroad. You will work with the design and execution of research studies, the analysis and interpretation of data, and the dissemination of results
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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Pepa Atanasova (Computer Science), Ingo Zettler (Copenhagen Center for Social Data Science and Department of Psychology), and Egor Starkov (Economics). The project's goal is to build a foundational
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XFEL, ESRF, APS, and LCLS, depending on awarded beamtime. The project is supported by the Independent Research Fund Denmark. More information about the research group is available here: https
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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employment The place of work is Universitetsbyen 81, 8000 Aarhus C, Denmark, and the area of employment is Aarhus University with related departments. Contact information For further information, please
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carcasses for analysis. Your task will be to explore what we can learn from the beached bird data. Topics include the distribution of mortality in time and space, and among species; causes of death, as
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methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart management
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conduct local Danish data collection and perform collaborative and comparative analyses of the data. The following tasks will all be core activities: Conduct and analyse focus group interviews with Danish