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10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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groundbreaking ATHENA project (Artificial Intelligence Towards Holistic Evaluation of Skin Nanotexture Alterations). This international collaborative project aims to develop novel diagnostic tools for various skin
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research project AI in the News Ecosystem: Navigating Trust and Authenticity (AINATA). The AINATA project explores how artificial intelligence (AI) impacts trust and authenticity in the news ecosystem. It
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
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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, materials science, and artificial intelligence. What we expect Applicants should hold a PhD in electronic engineering (the degree should have been completed within the last 5 years at most): Strong background
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collaborative research culture within SDU’s Faculty of Engineering (TEK), promoting interdisciplinary innovation across electronics, materials science, and artificial intelligence. What we expect Applicants
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10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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agents, large language models, and artificial intelligence more broadly. The ideal candidate would have prior experience in the design and evaluation of interactive artefacts and have published their work
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technologies, including conversational agents, large language models, and artificial intelligence more broadly. The ideal candidate would have prior experience in the design and evaluation of interactive
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within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer