51 high-performance-computing positions at Chalmers University of Technology in Sweden
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concepts in device physics. About the research project BUG-ID is a Marie Skłodowska-Curie Action Doctoral Network (DN), funded by the European Commission, Horizon Europe Program. The World Health
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established groups in telecommunication, remote sensing, optoelectronics, quantum technology, and high-performance computing. About the division and department With more than 30 faculty members, more than 100
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with GPU/high‑performance computing or scaling methods to large‑scale inference. What you will do Take courses at an advanced level within the Graduate school of Mathematics or Applied Mathematics and
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computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project
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computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project
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international collaborations and access to large, high-quality clinical datasets. About us The Computer Vision Group at the Department of Electrical Engineering conducts research in the field of automatic
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to nanofabrication, as well as state-of-the-art high-performance computing equipment. Main responsibilities The successful candidate will study and design devices for integrated optics using inverse design and machine
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Do you want to dive into modern differential geometry and computational mathematics and learn more about modeling of atmospheric or oceanic flows, or the motion of charged fluids such as plasmas? We
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society. If you love tackling complex challenges, we've got a seat with your name on it! About us At the Department of Electrical Engineering research and education are performed in the areas
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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