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, which is crucial for rutting, using machine learning. Second, we will develop new systems to integrate data from radar and lidar sensors mounted on drones and forestry machines to improve future real-time
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) classification and utilization based on advanced AI technologies, such as regenerative AI, image processing and reinforcement learning, that can improve the energy efficiency and reduce the operating cost and
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on the hypothesis that the future of building design lies at the intersection of physically sound building simulation models and machine learning (ML) techniques. Key considerations include effectively integrating ML
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, dynamic programming , statistical signal processing, reinforcement learning, and have good programming skills in Python and MATLAB. - Ability to work independently and ability to formulate and tackle
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ability to work independently, flexibility, ability to prioritize and meet deadlines, curiosity and willingness to learn, and organizational skills. Place of work: Uppsala, Sweden Forms for funding
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and eagerness to learn the required techniques as well as interest in the meritorious skills and experiences. On a personal level, we are looking for a good team player who can also work on their own
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. The position is for four years, with the possibility to teach up to 20%, which extends the position to five years. A dynamic and inspiring working environment in the coastal city of Gothenburg . A starting
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scientific journals and conferences Teach in courses within the scope of Production Systems Develop your teaching, supervision, and mentoring skills while assembling a personal pedagogical portfolio Read more
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collaboratively. Adaptability is also essential, as research directions and methodologies evolve, requiring flexibility and openness to learning new techniques. You should have the willingness to develop technical
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responsibility for own task. Structures own ways of tackling problems and pushes own processes through. Willing to learn new techniques or concepts and apply them in an interdisciplinary research environment