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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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efficiency, flexibility, and sustainability. Within this research project, Linköping University is collaborating with leading industrial companies to develop digital analysis and decision-support tools
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under the guidance of academic supervisors Apply and further develop tools and methods for risk assessment, such as multi-criteria analysis and cost-benefit analysis Collect and analyse empirical data and
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environment The Müller Research Group at the Department of Chemistry and Chemical Engineering of Chalmers University of Technology works at the intersection of physical chemistry and materials science, with a
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cells. Reference number: 20250273 Application deadline: August 10, 2025 Project overview This 5-year PhD project aims to develop a flexible and general model that enables comparison between different
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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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qualifications: To be eligible for this position, you must have (or be close to completing) a Master’s degree corresponding to at least 240 higher education credits in Applied Mathematics, Applied Physics
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courses and conduct independent research, leading to a doctoral thesis in business administration with a focus on entrepreneurship. The course component of the doctoral program corresponds to 90 credits
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of rural development with a focus on energy transitions. They will be involved in empirical work linked to WP6 tasks, and develop mixed-methods grounded in qualitative research and comparative analysis
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to develop your scientific skills and concepts and effectively communicate the results of your research both verbally and in writing. This position also involves teaching at Chalmers’ undergraduate level