69 parallel-computing-numerical-methods uni jobs at Chalmers University of Technology
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Are you excited about pioneering experimental quantum computing? Do you want to be part of a world-class research environment developing the next generation of superconducting quantum processors? We
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computational methodologies, ranging from atomistic and electronic-structure–based materials modeling and characterization, via machine-learning and high-throughput methods, to ab initio calculation
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the superconducting quantum devices, control circuits, firmware, and methods required to make the quantum computer a reality. This development takes place is in a close, fruitful collaboration between experimentalists
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can be used to convert biomass into valuable products. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The world requires outstanding
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24 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Informatics Computer science » Other Researcher Profile Recognised Researcher (R2
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out in close collaboration with ongoing experiments, and involves both analytical methods and numerical simulations. Who we are looking for The following requirements are mandatory: To qualify as a
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28 Mar 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Mathematics » Applied mathematics Mathematics » Computational mathematics Physics » Computational
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Sciences, as Doctoral student in the Data-driven Life Science (DDLS) program! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and
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description This research project position is about numerical simulations and theoretical investigations of finite-dimensional matrix Lie-Poisson discretizations of the 2-D Euler equations, with a particular