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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
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, 479.00 Hiring Unit: Civil Engineering Course Title: Numerical Methods Subject Code: CIVE 320 001 Location: Macdonald Engineering Schedule: Tuesday and Thursdays 02:35 - 04:25pm Deadline to Apply: 2025-07
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MECH 309 – Numerical Methods in Mechanical Engineering Teaching Qualification Requirements: Minimum of Ph.D. in Mechanical Engineering. Minimum of three years’ experience teaching or in industry
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the development and testing of advanced numerical modeling techniques to address challenges in riverine and coastal environments. This research will focus on enhancing simulation capabilities used to model compound
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-preserving numerical methods for stochastic wave equations”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Prof. Cui Jianbo
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advanced numerical framework for the simulation ofFSI problems,basedon the use ofthe Discontinuous Galerkin(DG)method for the discretization ofthe fluid domain.The structural domainwill be modeled using
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LevelMaster Degree or equivalent Skills/Qualifications Two typical profiles are possible: A mechanical engineer with strong interest in numerical methods development (programming, applied mathematics
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expertise in any area of mathematics who study or apply computational techniques such as artificial intelligence, data science, machine learning, statistics, formal methods, numerical methods, computational
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at the intersection of numerical linear algebra and advanced HPC. The candidate will join an international environment, with opportunities to collaborate with experts from the USA, and KAUST and publish in top-tier