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to pioneer novel research opportunities enabled by one of the brightest sources in the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal
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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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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 innovative team and contribute
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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, developing and applying advanced computational methods to study cosmic structure. The project is funded by a Simons Foundation grant and is part of the international collaboration Learning the Universe
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multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid approaches for next-generation fluid simulations. Who we
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factors influence security behaviors in software development teams. Duties The work in the project consists of 80% research and 20% teaching within the area of Social Psychology of Secure Software
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numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid
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Pak, Billerud, among others). Read more at: FibRe at Chalmers The aim of the project is to develop strategies and methods for producing lignocellulose-based materials with good thermoformability
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. The role involves contributing to this research project with a focus on model development, implementation, and testing. Further tasks involve dataset curation, analyzing results, and the creation