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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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doctoral degree (PhD. in Computer Science). Start date: Spring 2026. Project Description This PhD project explores the foundations of tractable probabilistic models, i.e. machine learning models that support
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Technology We invite applications for a fully funded WASP-PhD position to join the new research group of Martin Trapp to work on the reliability and trustworthiness of machine learning models. You will work
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of Decision and Control Systems is currently seeking up to two doctoral students with a strong background and interest in machine learning, mathematics, and learning for control. The successful candidates will
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research group which has a focus on machine learning methods for robotic manipulation. The project will focus on developing novel approaches that can incorporate very large scale real-world robotic
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-from-motion, and object recognition. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as
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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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) at ju.se. We are now looking for an assistant professor in computer science with a specialisation in human-computer interaction. You will be part of the team that teaches in our Graphic Design and Web
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version for all bachelor programmes) at ju.se. We are now looking for an assistant professor in computer science with a specialisation in human-computer interaction. You will be part of the team
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protection and security, work environment safety and environmental safety at the MAX IV Laboratory. The team is now looking to employ an expert within machine safety. As the sole machine safety engineer, you