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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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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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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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, 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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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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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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and corrective feedback. You will apply advanced algorithms for machine learning, multimodal biosignal processing, and human-state inference, working with shared-control strategies and electrotactile
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candidate and a postdoctoral researcher. The candidate’s workplace will be in Aalborg. As part of this project, you will investigate the impact of generative AI on creative processes and design novel ways
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, coordinate across internal functions, and translate new external demands into organizational priorities, practices, and decision-making processes. A central component of the work will be qualitative empirical
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bias reduction in recruitment processes. The position is full-time, three years, and based at the research group Strategy, Organisation and Management at campus Aalborg. The stipend is open for