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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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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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for validation of CFD results. Implement novel unsteady CFD and next generation in-house AI based design tools validated by the gathered experimental data on GKN resources with tight collaboration
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The Department of Architecture and Civil Engineering (ACE) at Chalmers University of Technology has approximately 250 employees, encompassing a broad theoretical and practical knowledge base. In ACE, the Division
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team working at the forefront of investigating sensitive natural (quick) clays. Based in a beautiful Nordic city with close access to nature, you will benefit from a competitive salary with full social
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and impacts on the marine environment. This is an opportunity for you to contribute to science-based guidance of the maritime industry in the green transition. The goal is to provide risk-based decision
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. Based in a beautiful Nordic city with close access to nature, you will enjoy a competitive salary, full social benefits, and work-life balance. As part of our research group, you will benefit from: A
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introduces new and underexplored vulnerabilities to network-based threats. The goal of this research is to uncover such threats, evaluate their impact on training performance and model integrity, and develop
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learning based materials modelling Communicate your research by presenting your results in scientific journals and at international conferences The position generally also includes teaching on Chalmers
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to investigate flow-induced forces in hydraulic turbines under varying operational conditions and how these forces affect the degradation and lifetime of the machines. About the position The position is based