245 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" uni jobs in Denmark
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at The Technical Faculty of IT and Design invites applications for a fully funded PhD stipend in the area of Human-Computer Interaction, generative AI, creativity research and knowledge worker studies. The position
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aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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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
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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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, creating impact at all levels while actively promoting the museum’s Vision and Values (https://snm.dk/en/about-museum) . Further details of qualifications required for appointment at the museum are detailed
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related areas Have an interest in life-long learning. The department’s teaching responsibilities comprise undergraduate and graduate teaching as well as teaching in executive education and doctoral
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. AT-CERE is closely connected with the center CERE of DTU (www.cere.dtu.dk ) and KT Consortium (https://www.kt.dtu.dk/research/kt-consortium ) which is a cross-disciplinary and cross-center activity of
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures for cyber-physical energy systems AI-based energy system modeling, simulation, and optimization Secure and
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted