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combination of robotics-assisted experiments and data mining in our 30 years of legacy data regarding the safety, metabolomics, and physiology of the strains. The UPCYFUN project is a unique opportunity for you
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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soon as possible thereafter. Recent advances in AI and robotics have enabled many new assistive technologies for the visual impaired. This project we will explore the possibility of creating new ‘hybrid
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similar. Bring hands-on experience in two or more areas: programming, robotics, AI, embedded systems, or physical computing. Are curious and passionate about emerging technologies — from VR to quantum
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laboratory robotics, working within our Biofoundry but providing support as needed to all research groups within DTU Biosustain. You will take a proactive approach to implementing automation across the centre
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already set new standards for aerial robotic inspection in confined, visually degraded, and GNSS-denied environments. The AUTOASSESS project develops fully autonomous solutions for challenging tasks such as
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a leading position in robotics for more than three decades. The department is the 2nd largest department at SDU, with more than 230 staff members and 1500 students. The institute has over the last
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internationally recognized research institute within the Faculty of Engineering, known for its contributions to software engineering, robotics, and artificial intelligence. The Software Engineering section
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period of four years in total at Aalborg University. The ideal candidate has: A strong background in manufacturing engineering, management engineering, operations management, robotics, industrial