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for a PhD position that combines research in the field of intelligent mission planning and learning-based optimization with real-world applications, in collaboration with Volvo Group. This is an ideal
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research in system and circuit design for next generation wideband radio frontends. The position allows access to fabrication in multiple semiconductor technologies provided by international partners inside
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high-quality research on interpretable and learning-based stochastic optimal control for over-actuated electric vehicles, with a focus on ensuring robustness and fail-safe operation. You will: - Develop
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work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery
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years. However, depending on the Department’s needs, the position may include teaching in the Master’s Program Design and Construction Project Management (MPDCPM) or performing other institutional duties
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-resolution 3D microstructures from microscopy data Learn meaningful representations of complex material structures The work contributes to both scientific understanding and sustainable industrial innovation
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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behavioural, organizational, and ergonomic factors—such as discomfort—may contribute to traffic-related risks. Through close collaboration with stakeholders in the healthcare, construction, and technology
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activities are focused on the modelling of the mechanics of structures, components, and processes along with involved materials, thereby providing mechanics-based solutions and virtual solution tools to our
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that inform the development of products, services and regulations. This research explores how real-world user behavior can be more effectively integrated into life cycle assessments to support designers