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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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(OAE) is a promising method aimed at increasing the ocean's capacity to absorb atmospheric CO₂. However, its biogeochemical, physical, and climatic impacts—as well as its interactions with other
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Numerical relativity, machine learning Where to apply
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California Polytechnic State University | San Luis Obispo, California | United States | about 5 hours ago
at the upper-division and graduate level. All areas of expertise in applied mathematics will be considered, but areas of special interest include numerical analysis, computational methods, numerical optimization
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill
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process techniques for the development of ion channel simulation schemes. Design, program and maintain the code necessary for these simulation models. Run numerical simulations. Provide support for
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mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within the European Doctoral
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modeling to create a predictive tool that spans orders of magnitude in length and time. Hands-On Numerical Modeling: Implement your model in a custom-made data analysis tool that uses advanced optimization
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research at LiU focuses on securing the most critical functions of digital society. Through numerous national and European projects, methods are developed for areas such as verification, intrusion detection
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finite-difference resolvent solver incorporating stabilising filters as well as a domain-decomposition strategy suitable for complex geometries, - Use efficient time-integration methods to compute