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collaboration with the Multiscale Inorganic Materials group, both part of the Division of Energy and Materials at Chalmers . The two groups together comprise nine senior researchers and 27 PhD students and
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aimed at building a high-performance quantum computer based on superconducting circuits. Our team includes a dynamic mix of PhD students, postdocs, and senior researchers working collaboratively
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universities around the world. The department provides a friendly, creative, and supportive atmosphere with a steady flow of international guests. More information about us can be found on our website: http
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stiffness or stretchability. You will collaborate closely with PhD students and Postdocs in our group as well as external partners to study the mechanical, electrical, and electrochemical properties
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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge
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within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences
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alongside PhD students in a research lab? We’re offering you the chance to do exactly that — and get paid for it, too. Information about the division The Photonics Laboratory at the Department
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leading academic and industrial partners in Sweden and internationally. Supervise and mentor students at undergraduate, graduate, and PhD levels. Contribute to teaching and curriculum development in
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
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the polymer matrix while preserving the quality of the fibres. Information about the division and the department The position is based in the Division of Materials and Manufacture at the Department