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Field
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projects. Hands-on experience with state-of-the-art experiments on contemporary quantum hardware platforms. Experience with numerical algorithms (e.g., tensor networks) for simulating quantum computer
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, lead large-scale benchmarking across the full stack, and develop scalable classical simulations (e.g., tensor networks)—including performance bounds beyond brute-force classical simulability. This role
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simulations, generalize experimental observations, and offer insight on the response of selected case studies. You should hold a PhD/DPhil (or be near completion) in numerical modelling for geotechnical
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To conduct research on the numerical modeling of giant-planet magnetospheres, with a primary emphasis on Jupiter’s magnetosphere–ionosphere system. The successful candidate will lead and analyze global
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primarily experimental, it also relies on strong abilities in analytical and numerical theoretical physics. Host research group: Ultra-low temperatures (MCBT-Institut Néel) Where to apply Website https
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sets of numerical simulations, to identify and characterize air–mucus interactions across a range of airway geometries (e.g., cylindrical tubes, airway bifurcations, etc.). The successful candidate will
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, Chemical/Biomedical Engineering, or related.Strong experience in ODE/PDE modeling and simulation (MATLAB, Python, or R).Experience with numerical methods, optimization, parameter estimation, and sensitivity
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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. The postdoctoral researcher will develop numerical simulations that couple viscous flow in a magmatic dike with fracturing of the surrounding elastic lithosphere, building on existing numerical frameworks
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noise. In this position, you will further develop our numerical simulations for outdoor sound propagation. You advance our existing simulation platform to consider atmospheric turbulence effects and make