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October 2026 , or soon hereafter. The position is a three-year role, located in the Department of Computer Science at Aalborg University's Technical Faculty for IT and Design. In addition, the project
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dissemination activities such as attending conferences Coordinate practice-based activities Note: since it is a collaborative project led by the Samsø Energy Academy, the candidate is expected to
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
literature, critical data studies, and software studies, and it analyses how GenAI is interfaced (SP1), how GenAI creates new relations to archives (SP2), experiments with prototyping alternative interfaces
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political language due to technical advancements in artificial intelligence (AI) and sociopolitical developments, particularly increased polarization. It explores the role of large language models in
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Foundation. The project is hosted by the nanotechnology centre NanoSYD, a part of MCI, and it is integrated into the novel, active working group CatMatX, a research laboratory focused on developing
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. It is a 2.5-year appointment starting around October 2026. We recommend that as an international applicant, you take the time to visit Work in Denmark where you will find information and facts
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within the following areas: Molecular research focusing on non-coding RNAs and EVs. It will be beneficial it you possess bioinformatics/computational skills and strong scientific writing skills. As a
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Postdoc position for Developing new and Stable Iridium based Electrocatalysts for Water Splitting...
splitting producing hydrogen. Current technology works but relies on the scarce and expensive Iridium and a goal it therefore to further develop the technology making savings on the Ir-loading and at
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. It is a collaboration between the Department of Computer Science and the Centre for Science Studies at Aarhus University, Denmark. The position is available from 1 December 2026, or as soon as
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more sustainable lifestyles when it comes to more plant-rich diets. We use an innovative connection of behavioural and social experimentation and agent-based models to understand and model how policy