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Faculty of IT and Design, The Faculty of Engineering and Science and The Faculty of Medicine. Dissemination qualifications, including participation on committees or boards, participation in organisations
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Join a research environment where Artificial Intelligence and Machine Learning moves beyond theory into clinical impacts. At the Faculty of Engineering and Science, this postdoctoral position offers
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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collaboration, entrepreneurship, methodological development, technology transfer, co-creation with private or public-sector partners, or other forms of societal use of research-based knowledge. You are motivated
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, technology providers, municipalities, and other public and private stakeholders. The aim of the PhD project is to examine how strategic development unfolds in transitioning port contexts, with particular
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on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from
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the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see easynmr.pastis.dk ). Current application areas
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Are you passionate about communication and research administration? Would you like to contribute to the development and operation of Aarhus University's interdisciplinary climate cluster, iClimate
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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investigating how technology, space design, and pedagogy can together enable students to continue learning at work, in individual study, or in distributed settings following active, on-campus learning experiences