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with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That’s why we
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international research connections, and is home to the Journal of Forest Economics Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Forest
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, manufacturers and policymakers in enabling more sustainable user practices across product acquisition, use and end-of-life phases. About us The position is located at the Division of Environmental Systems
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effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable
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embodied agents (e.g. robots) that can fluidly integrate into visitor interactions. Some aspects that can be of focus can include how embodied AI can facilitate group engagement, scaffold learning, and
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gathering knowledge about the diverse physical and geometric properties of objects and dynamic changes in the environment. This involves leveraging rich sensory data—such as vision and touch—encoding
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focused on high-throughput microanalysis to reveal how tramp elements introduced during recycling impact microstructure and properties in aluminium mega-castings. About us The PhD position is placed
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. About us The PhD position is placed at the Division of Material and Computational Mechanics . We foster an inclusive, friendly, and helpful work environment to which we welcome you to contribute. Our
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Rosén and Andreas Lindhe (Department of Architecture and Civil Engineering ). We have a strong network with national and international organizations within academia, public authorities and industry. About
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industry. About the research project You will work in the project “Turbulent ship wakes and their effects on the marine environment”, which is a continuation of our pioneering work focused on