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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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, 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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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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to participate in relevant research projects and prepare for an international research career. Read more about the research at The Department of Chemistry – BMC at our website . Project description This project
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of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D
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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
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University of Technology as principals. About us Our division, Data Science and AI (DSAI) at CSE conducts research in cooperation with partners in academia, industry, public, and cultural sectors; and has
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. Applications are within 6G mobile access, distributed intelligence and computing, and drone swarms. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are
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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