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                , multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several 
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                organization and the energy of the future. Our work takes place in collaboration and in strategic agreements with companies, organizations and authorities in the region. Employment information Employment 
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                is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in 
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                values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your 
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                essential tool for training and testing of AI models and control systems for robots and autonomous vehicles. In a digital environment, large amounts of annotated training data can be created safely and easily 
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                values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your 
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                8 Oct 2025 Job Information Organisation/Company Linköping University Research Field Physics Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 10 Nov 2025 - 12:00 
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                globally having access to large (>10,000 patients) matched multimodal data across radiology, pathology and molecular profiling and clinical data. The focus of this position is on developing methodology 
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                23 Oct 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences 
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                essential tool for training and testing of AI models and control systems for robots and autonomous vehicles. In a digital environment, large amounts of annotated training data can be created safely and easily