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illumination. In this project, we will go one step further and develop disentangled latent representations, not just for individual objects, but for full three-dimensional scenes with multiple objects that might
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of robotics, electromobility and autonomous driving. We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and
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project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium. The aim of RAM3 project is to enable the broad application of recycled
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: The successful candidate must have a Master's degree in electrical engineering, engineering physics, or related disciplines. Completed courses in signal processing, radar or communication theory are meritorious
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central role in streamlining and standardizing the design flow for quantum device fabrication. This includes implementing and improving design rule checks (DRC), optimizing and debugging code, and
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control of lithium-ion batteries. The team has received multiple recognitions, including the Volvo Car Technology Award, placement on IVA’s 100 List, and best paper awards from IEEE VTS and PELS. We have
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skills in C++, particularly for CFD code development. Basic understanding of structural dynamics in turbomachinery. Experience of working in collaborative or interdisciplinary research environments. Main
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both qualitative and quantitative methods, e.g., case studies, interviews, applied analytics, and field experiments. By developing new theories and applications, you will have the opportunity to solve
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Chalmers is home to a diverse research community working across disciplines. Our expertise spans: Materials science Chemical engineering Renewable energy Nuclear chemistry Theory and modeling We have a
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The candidate will be located at the division of Physical Resource Theory , Chalmers University of Technology, Gothenburg, Sweden. We conduct systems-level research to address major environmental challenges using