49 parallel-computing-numerical-methods positions at Chalmers University of Technology in Sweden
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)* Strong background in computational mechanics and numerical methods Demonstrated experience with LS-DYNA or comparable commercial FEA software Proficiency in Python programming for scientific computing and
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, Biomedical Engineering, Applied Mechanics, or a closely related field (awarded no more than three years prior to the application deadline)* Strong background in computational mechanics and numerical methods
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the lab, you will be exposed to a broad range of computational methodologies, ranging from material characterization, via machine-learning and high-throughput methods, to ab initio calculation
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We invite applications for several PhD positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment of the Wallenberg Centre
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We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
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communication with the Swedish marine industry will take place on a regular basis. Main responsibilities As a full-time doctoral student, you will be expected to independently develop numerical methods and codes
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-time doctoral student, you will be expected to independently develop numerical methods and codes, while also collaborating with senior researchers, engineers, and fellow students to solve problems
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. Within this project the DC will use pore-scale direct numerical simulations (based on the lattice-Boltzmann method) to enable the precise quantification of mass transport within electrode microstructures
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. Our tools include both computations and experiments. The research covers a wide range of topics. In some research projects the smallest turbulent scales are studied, whereas in others the function of a
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changing environment will affect the stability of quick clays, and the probability of triggering catastrophic failures. We offer access to unique experimental facilities and computational tools developed by