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focuses on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based
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at the Ångström Laboratory in Uppsala and at Campus Gotland. For more information, see the web of the department . This position will be based at the Division of Industrial Engineering in Uppsala. The Division
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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
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the future through innovative education and ground-breaking research results, and based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted
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analyses and machine learning. Some data for the project already exist, but additional data will be collected from behavioural tests on privately owned pet dogs in Sweden and abroad (Europe). Travel and time
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based at the Department of Science and Technology, Campus Norrköping. You will have the possibility to investigate AI-driven conversational guides and their impact on learning and engagement in public
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about the departments is available at: Project description This PhD project will explore how Artificial Intelligence, in particular AI-based simulations, data-driven modelling, and generative systems
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how digital product passports (DPP), and ontology-based platforms for collecting and interpreting such data, can facilitate data sharing among actors involved in a new circular flow of flat glass
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intelligence related to field robotics and autonomous vehicles. Last day to apply is November 15, 2025. Starting date is March 1, 2026, or by agreement. Project description Physics-based simulation is an
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intelligence related to field robotics and autonomous vehicles. Last day to apply is November 15, 2025. Starting date is March 1, 2026, or by agreement. Project description Physics-based simulation is an