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optimization; Edge intelligence and on-device foundation model deployment. You will work in a dynamic and collaborative research environment, with opportunities to publish in top-tier venues and collaborate with
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more than 20 countries. We perform basic and applied research within plant, livestock and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied
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for Hybrid Intelligence, Professor Jacob Sherson Tel.: +45 28775765, Email: sherson@mgmt.au.dk If you need help uploading your application or have any questions about the recruitment process, please contact HR
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about who is fit for power. The project is organized around three work packages. Work package I examines the messages children and youth receive about political power in school materials, children’s news
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spans signal processing, machine learning, digital twins, and intelligent systems — all with a strong emphasis on real-world impact and societal relevance. This position is anchored within the Signal
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-intelligence-and-big-data-in-radiation-oncology/). The group is part of the joint oncology research environment at Aarhus University Hospital and housed at the Danish Center for Particle Therapy. The research
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge
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operational environments Architecting and implementing AI autoencoders (e.g., TensorFlow Lite) for intelligent sensor data feature learning Taking ownership of secure data concentrator system design that