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27 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science Research Field Computer science Researcher
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, is under threat from growing reliance on artificial intelligence (AI) technology. While designed to assist, AI recommendations may inadvertently impede cognitive reasoning and steer decision-making
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initiatives focusing on: Next-generation energy storage systems Power converter design for Power-to-X (PtX) solutions Microgrid applications Quantum computing in power systems And other emerging technologies in
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
) , Information Studies, Master's Degree Programme (2021) , Digital Design - IT, Aesthetics and Interaction, Bachelor's Degree Programme in (2024) and Digital Design, Master's Degree Programme in (2021) Given
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collaboration on the DTaaS platform - Integrate the developed model into the existing DTaaS platform developed at AU - Evaluate the developed model with respect to the goals defined in the project - Help
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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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technologies. Your profile Prior experience in operation, design and maintenance of chemical engineering processes at lab or pilot scale is desired. The candidate is required to have a PhD in chemical
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differentiation. The position will focus on designing and executing experiments involving Cas9 based perturbation, single cell multi omics method development, and downstream verification in transgenic cell lines
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The Center for Sustainable Energy Materials (CENSEMAT) at the Department of Chemistry, Aarhus University, invites applications for a 24-month postdoctoral position in computational materials
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packages aim to transform consumers from passive observers into active participants in circular economy practices in food services – through evidence on barriers and motivators, co-designed digital