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supervisor is Prof. Serafim Bakalis, Department of Food Science, E-mail: [email protected] , Direct Phone: +45 93 56 56 81. Qualifications needed To be eligible for the regular PhD programme, you must have
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Very good knowledge of English (written and oral) Good communication skills (scientific community, the public, stakeholders, and managers) Experience in data analysis and statistical tools Preferable
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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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building, task reallocation, skill demand, and productivity outcomes in China and Denmark. The expected design combines quantitative analysis (firm-level data, job postings, occupational task data, and
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in harbor, coastal or offshore test environments. The candidate will contribute to test planning, sensor calibration, data collection, control tuning and post-processing of field data. Performance
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-CARE, this might include: - Collecting, coding and analysing qualitative and geo-coded data from digital photovoice walks with community members, and supporting stakeholder and socio-spatial mapping in
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26 Jul 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Esbjerg Energy Section Research Field Engineering
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levels. A central component of your work will be the collection and analysis of qualitative empirical data. The empirical work will be based on in-depth case studies of firms operating within the Danish
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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molecular, cellular and genomic techniques. Working with mammalian cell culture, genome engineering and embryology. Analysing and interpreting experimental data. Collaborating with researchers across