258 parallel-computing-numerical-methods-"https:" positions at NEW YORK UNIVERSITY ABU DHABI
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problems, numerical analysis, scientific computing, or mathematical modeling is required. Candidates with experience in nonlinear elliptic or parabolic PDEs, phase-field models, reaction-diffusion systems
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applications Experience in the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology, including advanced imaging and related analysis Experience in the
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Experience in the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology, including advanced imaging and related analysis Experience in the
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Experience in the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology, including advanced imaging and related analysis Experience in the
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Experience in the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology, including advanced imaging and related analysis Experience in the
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code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion
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Associate Research Scientist to work on numerical simulations in non-standard dark matter (DM) models. The successful applicant will drive a fascinating project focused on galaxy evolution and
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Permanent Hours Full Time Apply on website Save job Click to add the job to your shortlist Send job Job Details Description The eBRAIN Lab ( https://ebrain4everyone.com ) in the Division of Engineering at New
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The eBRAIN Lab ( https://ebrain4everyone.com ) in the Division of Engineering at
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. Numerical models capable of explaining physical observations are developed, accompanied by advanced manufacturing, prototyping, and experimental testing tasks. Static, fatigue, and dynamic loading