45 evolution "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Chalmers University of Technology in Sweden
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multidisciplinary, and you will work together with leading researchers with long and recognized experience in the development of technologies for hydrogen production, carbon dioxide capture, biomass utilization, and
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Infrastructure? No Offer Description We are looking for a Doctoral student to become part of our team at the Division of Product Development at the Department of Industrial and Materials Science. Join our
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of Microtechnology and Nanoscience advances the frontiers in quantum technology, nanoscience, photonics and future electronic systems - for technical and societal development. Our cross-disciplinary approach gives
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This project focuses on the development of quantum–classical modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical
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University of Technology. Our research spans from theoretical computer science to applied systems development. We provide high-quality education at the bachelor's, master's, and doctoral levels, offering over
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, innovation, and education, we contribute to the development of future industrial value chains. In the division of Computational Mechanics and Materials Engineering , we foster an inclusive, friendly, and
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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Computing Disease Evolution in Cancer (CODEc) group, led by Dr Eszter Lakatos within the Division of Applied Mathematics and Statistics and persue exciting research. As a Doctoral student, you will combine
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electronic systems. You will also develop and teach courses in electronics design at the bachelor and master levels, and take part in the further evolution of the excellent and multi-faceted research and
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Join the Computing Disease Evolution in Cancer (CODEc) group, led by Dr Eszter Lakatos within the Division of Applied Mathematics and Statistics and persue exciting research. As a Doctoral student