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analyze interviews with company representatives, trade unions, labour inspectors and other authorities, and experts. Gather and analyze supplementary data such as statistics, archival data, media sources
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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
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find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You can
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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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machine learning to rich molecular data and uncover the molecular basis of IBD. The successful candidate will build prediction models from high-dimensional molecular measurements, with a particular focus on
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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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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
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as part of the ORBIT Consortium. Work duties (e.g., data collection) will take place mainly in Denmark, but may also include data collection and participation in meetings in Sweden, Norway, and Finland
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information can be found here. We believe in encouraging inclusion, acceptance, and understanding by employing staff who bring unique perspectives to our department. What we offer A collaborative, international