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o calibration and/or data assimilation o satellite geodetic and/or Earth Observation (EO) data processing o meteorological/hydrological data processing and analysis Strong interest in collaborative
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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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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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, power conversion, energy and hydrogen storage, downstream processes, and energy demand, to enable more efficient, flexible, and economically viable Power-to-X operation. This position is expected to start
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are very welcome to contact the person listed at the bottom of the job posting, who can provide further information about the project, the research environment and the recruitment process. Further
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, processes, and practices, and how educational institutions prepare students to navigate these changes and contribute to the development and implementation of AI. The project may draw on perspectives from
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, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related field. The candidate should have solid mathematical and analytical skills and a strong interest
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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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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
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public organisations, and the Innovation, Knowledge and Economic dynamics Group (IKE), which examines knowledge creation and innovation as processes of interactive learning within systemic frameworks