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of physics‑informed control of mobile manipulators, data collection from real and simulated machines, and model development and testing in simulated environments. The project offers close collaboration with
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Join us at the forefront of life science AI. We are looking for a postdoctoral researcher to develop cutting‑edge, multimodal transformer‑based deep learning methods to extract insight from genomic
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collaboration with international leading developers of machines, simulators, and of physical AI solutions. Competence requirements To be appointed under the postdoctoral agreement, the postdoctoral fellow is
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by The Kempe Foundations. Project description Machine learning and artificial intelligence have had a major impact on medical image analysis in recent years. While CT and MRI provide highly
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collaboration with international, national and regional companies, the public sector and leading universities. Luleå University of Technology has an annual turnover of just over SEK 2.3 billion. We have more
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analog and digital signals. Our dynamic team includes teachers, researchers, and administrative staff, offering a rich intellectual environment for collaboration. We offer a supportive work environment
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will be as a researcher in a two-year project carried out in close collaboration with our industry partner. The goal is to develop methods for an ML-based decision support system for monitoring and fault
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-year project carried out in close collaboration with our industry partner. The goal is to develop methods for an ML-based decision support system for monitoring and fault diagnosis of gas turbines
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(e.g., COBRApy, COBRA Toolbox, RAVEN). Demonstrated experience with machine learning methods and their application to biological or scientific data. Strong programming skills in Python, with experience
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, advanced omics technologies, bioinformatics, and clinical collaboration to address fundamental and translational questions in tissue repair. As a member of our multidisciplinary team, you will work in a