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intelligence, robotics, machine learning, and human-robot interaction. Project Description The focus of the project is artificial intelligence (AI) and specifically the use of large language models in health
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at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. Project description The focus of the project is unconventional computing, and, specifically, the development
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at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. Project description The focus of the project is machine learning and specifically the development of novel neuro
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visualization and human-AI (artificial intelligence) interaction (human-computer interaction). As an Assistant Professor in Information Visualization and Human-AI Interaction, you will teach at undergraduate and
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the Division of Data Science and Artificial Intelligence . About the research project This PhD project explores multi-agent decision making from the perspective of Markov Decision Processes (MDPs). MDPs are a
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We invite applications for a PhD position that explores the impact of Artificial Intelligence (AI) on Higher Education, in particular within STEM (Science, technology, engineering and mathematics
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recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and
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technology and indigenous peoples. Here we explore how new media and new digital technology, including how generative artificial intelligence (GenAI) encounter the Sami as indigenous peoples, and how
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. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as well as application to medical problems. About the
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%). The PhD project is integrated within a larger interdisciplinary project BIOSPACE . The doctoral student will combine remote sensing, artificial intelligence, and analyses of empirical ecological datasets