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reproducible research, collaboration, and knowledge sharing. You should meet the following qualifications: A PhD in Electrical Engineering, Robotics, Computer Science, Artificial Intelligence, or a closely
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innovation (Track B). Note: Digital and commercial innovation should include emerging technologies (e.g., artificial intelligence, spatial computing). “Responsible innovation” is to be defined by the candidate
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PhD position in Human-Computer Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication
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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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centre dedicated to advancing digital technologies for the green transition of the energy sector. The centre conducts research at the intersection of energy systems, artificial intelligence, software
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, especially the medical sciences; history of philosophy, especially German idealism; epistemology; ethics, including applied ethics; metaphysics; philosophy of technology, especially artificial intelligence and
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Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication, learning, and shared understanding in blue
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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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computational biology with a strong focus on development of computational and statistical methods, particularly within machine learning and artificial intelligence. The applicant must have earned a PhD degree and
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, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction