12 phd-in-power-electronics PhD positions at Chalmers University of Technology in Sweden
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This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Join us for a fully funded PhD position in theoretical machine learning to uncover how and why transformers work. Explore their inner mechanisms using information theory. As part of this project
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Are you passionate about railways, acoustics, and data-driven infrastructure solutions? We are looking for a PhD student to join the project “A robust tool for rail fault and roughness estimation
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for a PhD student focusing on future fuels and propulsion systems for the maritime sector. This is an opportunity for you to contribute to the development of techno-economic and environmental assessment
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We invite applications for several PhD positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment of the Wallenberg Centre
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production and wind power), you will contribute to Sweden’s long-term industrial competitiveness. We are seeking a highly motivated and curious PhD candidate with a passion for research excellence, an interest
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area. About the research project This PhD project will focus on understanding the arena for broadened recruitment and participation in STEM university education, from policy to practice. Patterns
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We are looking for a PhD candidate fascinated by the response of sensitive clays, such as quick clays that can change from solid to liquid with small environmental perturbations. We want to be able
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physics and strongly interacting systems? As a PhD student in theoretical nuclear physics, you will have the opportunity to explore deep questions about the origin and properties of atomic nuclei and the
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of materials science and health? This PhD position offers the opportunity to apply materials characterization techniques to a unique biological material—bone, the key component of the human skeleton. Bone’s